intrinsic data quality analysis of volunteered geographic information · 2018-11-21 ·...
TRANSCRIPT
uni-heidelbergdegis
Towards a framework for
Intrinsic Data Quality Analysis ofVolunteered Geographic Information
Alexander Zipf GIScience Research Group
Heidelberg Universityzipfuni-heidelbergde
uni-heidelbergdegis
Smart Mobility OpenRouteServiceorg
VGI for Humanitarian Aid Big Spatial Data Analytics
uni-heidelbergdegis
Dimensions of Spatial Data Quality
bull Lineage
bull Completeness
bull Logical Consistency
bull Positional Accuracy
bull Attribute Accuracy
bull etchellip
OSMatrixuni-hdde
uni-heidelbergdegis
Goodchild Haklay M (2010)
Neis Zielstra amp Zipf (2012) The Street Network Evolution of Crowdsourced Maps - OpenStreetMap in Germany 2007-2011Future Internet Vol4 pp1-21
VGI Data Quality
uni-heidelbergdegis
iOSManalyser Intrinsic OSM Analysis
etc
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS DOI 101111tgis12073
uni-heidelbergdegis
iOSManalyser Intrinsic Quality Indicators
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS
DOI 101111tgis12073
uni-heidelbergdegis
OSMapper Contribution Index
Jokar Arsanjani J Mooney P Helbich M Zipf A (2015)An exploration of future patterns of the contributions to OpenStreetMap amp development of a Contribution Index Transactions in GIS DOI 101111tgis12139
uni-heidelbergdegis
Degrossi LC Albuquerque JP Rocha RS Zipf A (2018) A taxonomy of quality assessmentmethods for volunteered andcrowdsourced geographic informationTransactions in GIS 2018 001ndash19
uni-heidelbergdegis
Conceptual Quality Dimension for VGI
bull Accuracy Indicators Eg Number of features with multiple classications number of contributors
Distance between conceptualization ampdomain knowledge Degree of correctness in the classication of features in classes
bull Granularity Eg Depth of classes in the class hierarchy
Level of thematic description from abstract to specifc concepts
bull Completeness Eg Number of classes number of attributes
Coverage in the conceptualization of the features of interest
bull Consistency Eg Number of features in a class with the same attributes ratio between consistent features or attributes to all others
Degree of homogeneity in the descriptions of geographic features
bull Compliance Eg Ratio between the number of classes and attributes dened in an external source S and the total number of classes ampattributes
Degree of adherence of an attribute a feature or a set of features to a given source S
bull Richness Eg Number of attributes describing a feature
Amount and variety of dimensions that are included in the description of the real-world entity
Ballatore A amp A Zipf (2015) A Conceptual Quality Framework forVolunteered Geographic Information COSIT 2015 Santa Fe
uni-heidelbergdegis
osm-visgeoguni-heidelbergde
Mocnik F-B Zipf A Raifer M (2017)The OpenStreetMap folksonomy and its evolution Geo-Spatial Information Science GSIS Taylor amp Francis Vol 20 2017 pp 219-230
Development of the OSM Wiki
Investigating the OSM folksonomy
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
Smart Mobility OpenRouteServiceorg
VGI for Humanitarian Aid Big Spatial Data Analytics
uni-heidelbergdegis
Dimensions of Spatial Data Quality
bull Lineage
bull Completeness
bull Logical Consistency
bull Positional Accuracy
bull Attribute Accuracy
bull etchellip
OSMatrixuni-hdde
uni-heidelbergdegis
Goodchild Haklay M (2010)
Neis Zielstra amp Zipf (2012) The Street Network Evolution of Crowdsourced Maps - OpenStreetMap in Germany 2007-2011Future Internet Vol4 pp1-21
VGI Data Quality
uni-heidelbergdegis
iOSManalyser Intrinsic OSM Analysis
etc
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS DOI 101111tgis12073
uni-heidelbergdegis
iOSManalyser Intrinsic Quality Indicators
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS
DOI 101111tgis12073
uni-heidelbergdegis
OSMapper Contribution Index
Jokar Arsanjani J Mooney P Helbich M Zipf A (2015)An exploration of future patterns of the contributions to OpenStreetMap amp development of a Contribution Index Transactions in GIS DOI 101111tgis12139
uni-heidelbergdegis
Degrossi LC Albuquerque JP Rocha RS Zipf A (2018) A taxonomy of quality assessmentmethods for volunteered andcrowdsourced geographic informationTransactions in GIS 2018 001ndash19
uni-heidelbergdegis
Conceptual Quality Dimension for VGI
bull Accuracy Indicators Eg Number of features with multiple classications number of contributors
Distance between conceptualization ampdomain knowledge Degree of correctness in the classication of features in classes
bull Granularity Eg Depth of classes in the class hierarchy
Level of thematic description from abstract to specifc concepts
bull Completeness Eg Number of classes number of attributes
Coverage in the conceptualization of the features of interest
bull Consistency Eg Number of features in a class with the same attributes ratio between consistent features or attributes to all others
Degree of homogeneity in the descriptions of geographic features
bull Compliance Eg Ratio between the number of classes and attributes dened in an external source S and the total number of classes ampattributes
Degree of adherence of an attribute a feature or a set of features to a given source S
bull Richness Eg Number of attributes describing a feature
Amount and variety of dimensions that are included in the description of the real-world entity
Ballatore A amp A Zipf (2015) A Conceptual Quality Framework forVolunteered Geographic Information COSIT 2015 Santa Fe
uni-heidelbergdegis
osm-visgeoguni-heidelbergde
Mocnik F-B Zipf A Raifer M (2017)The OpenStreetMap folksonomy and its evolution Geo-Spatial Information Science GSIS Taylor amp Francis Vol 20 2017 pp 219-230
Development of the OSM Wiki
Investigating the OSM folksonomy
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
Dimensions of Spatial Data Quality
bull Lineage
bull Completeness
bull Logical Consistency
bull Positional Accuracy
bull Attribute Accuracy
bull etchellip
OSMatrixuni-hdde
uni-heidelbergdegis
Goodchild Haklay M (2010)
Neis Zielstra amp Zipf (2012) The Street Network Evolution of Crowdsourced Maps - OpenStreetMap in Germany 2007-2011Future Internet Vol4 pp1-21
VGI Data Quality
uni-heidelbergdegis
iOSManalyser Intrinsic OSM Analysis
etc
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS DOI 101111tgis12073
uni-heidelbergdegis
iOSManalyser Intrinsic Quality Indicators
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS
DOI 101111tgis12073
uni-heidelbergdegis
OSMapper Contribution Index
Jokar Arsanjani J Mooney P Helbich M Zipf A (2015)An exploration of future patterns of the contributions to OpenStreetMap amp development of a Contribution Index Transactions in GIS DOI 101111tgis12139
uni-heidelbergdegis
Degrossi LC Albuquerque JP Rocha RS Zipf A (2018) A taxonomy of quality assessmentmethods for volunteered andcrowdsourced geographic informationTransactions in GIS 2018 001ndash19
uni-heidelbergdegis
Conceptual Quality Dimension for VGI
bull Accuracy Indicators Eg Number of features with multiple classications number of contributors
Distance between conceptualization ampdomain knowledge Degree of correctness in the classication of features in classes
bull Granularity Eg Depth of classes in the class hierarchy
Level of thematic description from abstract to specifc concepts
bull Completeness Eg Number of classes number of attributes
Coverage in the conceptualization of the features of interest
bull Consistency Eg Number of features in a class with the same attributes ratio between consistent features or attributes to all others
Degree of homogeneity in the descriptions of geographic features
bull Compliance Eg Ratio between the number of classes and attributes dened in an external source S and the total number of classes ampattributes
Degree of adherence of an attribute a feature or a set of features to a given source S
bull Richness Eg Number of attributes describing a feature
Amount and variety of dimensions that are included in the description of the real-world entity
Ballatore A amp A Zipf (2015) A Conceptual Quality Framework forVolunteered Geographic Information COSIT 2015 Santa Fe
uni-heidelbergdegis
osm-visgeoguni-heidelbergde
Mocnik F-B Zipf A Raifer M (2017)The OpenStreetMap folksonomy and its evolution Geo-Spatial Information Science GSIS Taylor amp Francis Vol 20 2017 pp 219-230
Development of the OSM Wiki
Investigating the OSM folksonomy
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
Goodchild Haklay M (2010)
Neis Zielstra amp Zipf (2012) The Street Network Evolution of Crowdsourced Maps - OpenStreetMap in Germany 2007-2011Future Internet Vol4 pp1-21
VGI Data Quality
uni-heidelbergdegis
iOSManalyser Intrinsic OSM Analysis
etc
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS DOI 101111tgis12073
uni-heidelbergdegis
iOSManalyser Intrinsic Quality Indicators
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS
DOI 101111tgis12073
uni-heidelbergdegis
OSMapper Contribution Index
Jokar Arsanjani J Mooney P Helbich M Zipf A (2015)An exploration of future patterns of the contributions to OpenStreetMap amp development of a Contribution Index Transactions in GIS DOI 101111tgis12139
uni-heidelbergdegis
Degrossi LC Albuquerque JP Rocha RS Zipf A (2018) A taxonomy of quality assessmentmethods for volunteered andcrowdsourced geographic informationTransactions in GIS 2018 001ndash19
uni-heidelbergdegis
Conceptual Quality Dimension for VGI
bull Accuracy Indicators Eg Number of features with multiple classications number of contributors
Distance between conceptualization ampdomain knowledge Degree of correctness in the classication of features in classes
bull Granularity Eg Depth of classes in the class hierarchy
Level of thematic description from abstract to specifc concepts
bull Completeness Eg Number of classes number of attributes
Coverage in the conceptualization of the features of interest
bull Consistency Eg Number of features in a class with the same attributes ratio between consistent features or attributes to all others
Degree of homogeneity in the descriptions of geographic features
bull Compliance Eg Ratio between the number of classes and attributes dened in an external source S and the total number of classes ampattributes
Degree of adherence of an attribute a feature or a set of features to a given source S
bull Richness Eg Number of attributes describing a feature
Amount and variety of dimensions that are included in the description of the real-world entity
Ballatore A amp A Zipf (2015) A Conceptual Quality Framework forVolunteered Geographic Information COSIT 2015 Santa Fe
uni-heidelbergdegis
osm-visgeoguni-heidelbergde
Mocnik F-B Zipf A Raifer M (2017)The OpenStreetMap folksonomy and its evolution Geo-Spatial Information Science GSIS Taylor amp Francis Vol 20 2017 pp 219-230
Development of the OSM Wiki
Investigating the OSM folksonomy
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
iOSManalyser Intrinsic OSM Analysis
etc
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS DOI 101111tgis12073
uni-heidelbergdegis
iOSManalyser Intrinsic Quality Indicators
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS
DOI 101111tgis12073
uni-heidelbergdegis
OSMapper Contribution Index
Jokar Arsanjani J Mooney P Helbich M Zipf A (2015)An exploration of future patterns of the contributions to OpenStreetMap amp development of a Contribution Index Transactions in GIS DOI 101111tgis12139
uni-heidelbergdegis
Degrossi LC Albuquerque JP Rocha RS Zipf A (2018) A taxonomy of quality assessmentmethods for volunteered andcrowdsourced geographic informationTransactions in GIS 2018 001ndash19
uni-heidelbergdegis
Conceptual Quality Dimension for VGI
bull Accuracy Indicators Eg Number of features with multiple classications number of contributors
Distance between conceptualization ampdomain knowledge Degree of correctness in the classication of features in classes
bull Granularity Eg Depth of classes in the class hierarchy
Level of thematic description from abstract to specifc concepts
bull Completeness Eg Number of classes number of attributes
Coverage in the conceptualization of the features of interest
bull Consistency Eg Number of features in a class with the same attributes ratio between consistent features or attributes to all others
Degree of homogeneity in the descriptions of geographic features
bull Compliance Eg Ratio between the number of classes and attributes dened in an external source S and the total number of classes ampattributes
Degree of adherence of an attribute a feature or a set of features to a given source S
bull Richness Eg Number of attributes describing a feature
Amount and variety of dimensions that are included in the description of the real-world entity
Ballatore A amp A Zipf (2015) A Conceptual Quality Framework forVolunteered Geographic Information COSIT 2015 Santa Fe
uni-heidelbergdegis
osm-visgeoguni-heidelbergde
Mocnik F-B Zipf A Raifer M (2017)The OpenStreetMap folksonomy and its evolution Geo-Spatial Information Science GSIS Taylor amp Francis Vol 20 2017 pp 219-230
Development of the OSM Wiki
Investigating the OSM folksonomy
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
iOSManalyser Intrinsic Quality Indicators
Barron C Neis P amp Zipf A (2013)A Comprehensive Framework for Intrinsic
OpenStreetMap Quality Analysis Transactions in GIS
DOI 101111tgis12073
uni-heidelbergdegis
OSMapper Contribution Index
Jokar Arsanjani J Mooney P Helbich M Zipf A (2015)An exploration of future patterns of the contributions to OpenStreetMap amp development of a Contribution Index Transactions in GIS DOI 101111tgis12139
uni-heidelbergdegis
Degrossi LC Albuquerque JP Rocha RS Zipf A (2018) A taxonomy of quality assessmentmethods for volunteered andcrowdsourced geographic informationTransactions in GIS 2018 001ndash19
uni-heidelbergdegis
Conceptual Quality Dimension for VGI
bull Accuracy Indicators Eg Number of features with multiple classications number of contributors
Distance between conceptualization ampdomain knowledge Degree of correctness in the classication of features in classes
bull Granularity Eg Depth of classes in the class hierarchy
Level of thematic description from abstract to specifc concepts
bull Completeness Eg Number of classes number of attributes
Coverage in the conceptualization of the features of interest
bull Consistency Eg Number of features in a class with the same attributes ratio between consistent features or attributes to all others
Degree of homogeneity in the descriptions of geographic features
bull Compliance Eg Ratio between the number of classes and attributes dened in an external source S and the total number of classes ampattributes
Degree of adherence of an attribute a feature or a set of features to a given source S
bull Richness Eg Number of attributes describing a feature
Amount and variety of dimensions that are included in the description of the real-world entity
Ballatore A amp A Zipf (2015) A Conceptual Quality Framework forVolunteered Geographic Information COSIT 2015 Santa Fe
uni-heidelbergdegis
osm-visgeoguni-heidelbergde
Mocnik F-B Zipf A Raifer M (2017)The OpenStreetMap folksonomy and its evolution Geo-Spatial Information Science GSIS Taylor amp Francis Vol 20 2017 pp 219-230
Development of the OSM Wiki
Investigating the OSM folksonomy
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
OSMapper Contribution Index
Jokar Arsanjani J Mooney P Helbich M Zipf A (2015)An exploration of future patterns of the contributions to OpenStreetMap amp development of a Contribution Index Transactions in GIS DOI 101111tgis12139
uni-heidelbergdegis
Degrossi LC Albuquerque JP Rocha RS Zipf A (2018) A taxonomy of quality assessmentmethods for volunteered andcrowdsourced geographic informationTransactions in GIS 2018 001ndash19
uni-heidelbergdegis
Conceptual Quality Dimension for VGI
bull Accuracy Indicators Eg Number of features with multiple classications number of contributors
Distance between conceptualization ampdomain knowledge Degree of correctness in the classication of features in classes
bull Granularity Eg Depth of classes in the class hierarchy
Level of thematic description from abstract to specifc concepts
bull Completeness Eg Number of classes number of attributes
Coverage in the conceptualization of the features of interest
bull Consistency Eg Number of features in a class with the same attributes ratio between consistent features or attributes to all others
Degree of homogeneity in the descriptions of geographic features
bull Compliance Eg Ratio between the number of classes and attributes dened in an external source S and the total number of classes ampattributes
Degree of adherence of an attribute a feature or a set of features to a given source S
bull Richness Eg Number of attributes describing a feature
Amount and variety of dimensions that are included in the description of the real-world entity
Ballatore A amp A Zipf (2015) A Conceptual Quality Framework forVolunteered Geographic Information COSIT 2015 Santa Fe
uni-heidelbergdegis
osm-visgeoguni-heidelbergde
Mocnik F-B Zipf A Raifer M (2017)The OpenStreetMap folksonomy and its evolution Geo-Spatial Information Science GSIS Taylor amp Francis Vol 20 2017 pp 219-230
Development of the OSM Wiki
Investigating the OSM folksonomy
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
Degrossi LC Albuquerque JP Rocha RS Zipf A (2018) A taxonomy of quality assessmentmethods for volunteered andcrowdsourced geographic informationTransactions in GIS 2018 001ndash19
uni-heidelbergdegis
Conceptual Quality Dimension for VGI
bull Accuracy Indicators Eg Number of features with multiple classications number of contributors
Distance between conceptualization ampdomain knowledge Degree of correctness in the classication of features in classes
bull Granularity Eg Depth of classes in the class hierarchy
Level of thematic description from abstract to specifc concepts
bull Completeness Eg Number of classes number of attributes
Coverage in the conceptualization of the features of interest
bull Consistency Eg Number of features in a class with the same attributes ratio between consistent features or attributes to all others
Degree of homogeneity in the descriptions of geographic features
bull Compliance Eg Ratio between the number of classes and attributes dened in an external source S and the total number of classes ampattributes
Degree of adherence of an attribute a feature or a set of features to a given source S
bull Richness Eg Number of attributes describing a feature
Amount and variety of dimensions that are included in the description of the real-world entity
Ballatore A amp A Zipf (2015) A Conceptual Quality Framework forVolunteered Geographic Information COSIT 2015 Santa Fe
uni-heidelbergdegis
osm-visgeoguni-heidelbergde
Mocnik F-B Zipf A Raifer M (2017)The OpenStreetMap folksonomy and its evolution Geo-Spatial Information Science GSIS Taylor amp Francis Vol 20 2017 pp 219-230
Development of the OSM Wiki
Investigating the OSM folksonomy
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
Conceptual Quality Dimension for VGI
bull Accuracy Indicators Eg Number of features with multiple classications number of contributors
Distance between conceptualization ampdomain knowledge Degree of correctness in the classication of features in classes
bull Granularity Eg Depth of classes in the class hierarchy
Level of thematic description from abstract to specifc concepts
bull Completeness Eg Number of classes number of attributes
Coverage in the conceptualization of the features of interest
bull Consistency Eg Number of features in a class with the same attributes ratio between consistent features or attributes to all others
Degree of homogeneity in the descriptions of geographic features
bull Compliance Eg Ratio between the number of classes and attributes dened in an external source S and the total number of classes ampattributes
Degree of adherence of an attribute a feature or a set of features to a given source S
bull Richness Eg Number of attributes describing a feature
Amount and variety of dimensions that are included in the description of the real-world entity
Ballatore A amp A Zipf (2015) A Conceptual Quality Framework forVolunteered Geographic Information COSIT 2015 Santa Fe
uni-heidelbergdegis
osm-visgeoguni-heidelbergde
Mocnik F-B Zipf A Raifer M (2017)The OpenStreetMap folksonomy and its evolution Geo-Spatial Information Science GSIS Taylor amp Francis Vol 20 2017 pp 219-230
Development of the OSM Wiki
Investigating the OSM folksonomy
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
osm-visgeoguni-heidelbergde
Mocnik F-B Zipf A Raifer M (2017)The OpenStreetMap folksonomy and its evolution Geo-Spatial Information Science GSIS Taylor amp Francis Vol 20 2017 pp 219-230
Development of the OSM Wiki
Investigating the OSM folksonomy
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
osmatrixuni-hdde
Roick O Loos L amp Zipf A (2012) Visualizing spatio-temporal quality metrics of Volunteered
Geographic Information ndash A case study for OpenStreetMap Geoinformatik 2012 Braunschweig
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
ohsome API
OSHDB API
OSHDBFlexibility
Usability
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
ohsome APIrarr REST web service
rarr interactive analyses and
visualizations in browser
ohsomeorgOSM-HISTORY PLATFORM
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
apiohsomeorgv09swagger-uihtml
ohsomeorgOSM-HISTORY PLATFORM
Examplehttpsapiohsomeorgv09
elementscountgroupByboundary
bboxes=Kathmandu8522768545278|
Pokhara839142281693840775282687
amptypes=way
amptime=2015-01-012017-01-01P1M
ampkeys=buildingampvalues=residential
ampshowMetadata=true
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
ohsome dashboard (preview)
ohsomeorgappsdashboard
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
ohsome exampleso
hso
me
org
Evolution of OSM buildings in Africa
Context HOT coordinates OSM building mapping tasks within theirMalaria Elimination Campaign
total number of OSM buildings 2008 - 2017
Processing using Big Data Frameworks (Apache Ignite Spark etc)
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
Completeness
street lengths aggregated for street categories
percentage of streets which include street names
Topological correctness
percentage of intersecting OSM ways that do not share a common node
percentage of OSM endpoints close (distance 1 m) but not connected to an OSM way
User activity Number of users that edited OSM streets
Routing Nepal Earthquake 2015
httpdisasteropenrouteserviceorg
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
Routing Nepal Earthquake 2015
Auer Eckle Fendrich Griesbaum Kowatsch Marx Raifer Schott Troilo Zipf (2018)Towards Using the Potential of OpenStreetMap History for Disaster Activation MonitoringISCRAM 2018 Rochester
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
Evolution Topological Correctness
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
githubcomGIScienceoshdb
apiohsomeorgv09swagger-uihtml
ohsomeorgappsdashboard
Want to try it yourself
zipfuni-heidelbergde
Get in touchhellip
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
bull The ohsome platform enables analyses of data evolution amp quality the detection of contribution patterns etc
bull Future versions will facilitate monitoring OSM data in near-real time on a global scale and bring extended functionalities
bull Your ideas welcome
bull Further work on enhancing OSM
Conclusion amp Outlook
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
Thank you very much
Alexander Zipf
GIScience Research Group
Heidelberg University
zipfuni-heidelbergde
Questions
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1
uni-heidelbergdegis
OSM Research Overview
Jokar Arsanjani J Zipf A Mooney P Helbich M (eds) (2015)
OpenStreetMap in GIScience experiences research applications
373p Springer Science Heidelberg Berlin ISBN 978-3-319-14279-1