spatial data model: basic data types
DESCRIPTION
Spatial Data Model: Basic Data Types. 2 basic spatial data models exist vector : based on geometry of points lines Polygons raster : based on geometry of grid cells (images, bitmaps, DEMs). Vector Data. Vector Data Model. Points : represent discrete point features. - PowerPoint PPT PresentationTRANSCRIPT
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Spatial Data Model: Basic Data Types
2 basic spatial data models exist
vector: based on geometry ofpointslines Polygons
raster: based on geometry ofgrid cells (images, bitmaps, DEMs)
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Vector Data
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Vector Data ModelPoints: represent discrete point features
airports are point features
each point is stored as a coordinate pair
each point locationhas a record in thetable
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Vector Data Model
Lines: represent linear features
roads are linear features
each road segmenthas a record in thetable
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Vector Data Model
• Lines start and end at nodes• line #1 goes from node #2 to node #1
• Vertices determine shape of line• Nodes and vertices are stored as coordinate
pairs
node
node
vertex
vertex
vertex
vertex
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Vector Data Model
Polygons: represent bounded areas
each bounded polygonhas a record in thetable
landforms and water are polygonal features
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Vector Data Model
Points are discreet
Nodes
Vertices
Lines
Nodes
Vertices
Arcs
Closed area (Lines + points ) = polygons
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Vector Data Model
Vector data formats available in ArcGIS
ESRI GeoDatabasesESRI shapefilesArcInfo coverages and librariesCAD files (AutoCAD DWG, DXF; microstation DGN)StreetMap filesSpatial Database Engine (SDE) dataASCII point coordinate dataLinear measure (route) data
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Vector Data Model
ESRI Geodatabases
Geodatabase can store many files from many source formats
1st preferred vector format in ArcGIS
Rapid display
Fully editable (coordinate and tabular) in ArcGIS
Convenient storage format
Data sets are either point or line or polygon
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Vector Data Model
ESRI shapefiles
2nd preferred vector format in ArcGISRapid displayFully editable (coordinate and tabular) in ArcGISSimple in structure
Do not use arc-node topology“Connected” lines do not necessarily share a common nodeAdjacent polygons do not share common bounding arcs
Data sets are either point or line or polygon
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Vector Data Model
• less complex data model• polygons do not share bounding lines
Shapefile polygon spatial data model
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Vector Data Model
ArcInfo coverages
Commonly found format (due to ArcInfo market dominance)
Data model more complex
Display more slowly in ArcGIS
Coordinate data not editable in ArcGIS
Polymorphic (point/line/polygon/route/annotation/…)
Problematic OS file structure
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Vector Data Model
• polygons share bounding lines• same topological rules can be built into
Geodatabase
ArcInfo coverage spatial data model
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ASCII coordinate data
Easy to obtain from a variety of sourcesGPSTraverse (survey)Direct reading
OS and application independent
Vector Data Model
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Vector Data Model
Characteristics + Features are positioned accurately
+ Shape of features can be represented correctly
+ Features are represented discretely (no fuzzy boundaries)
– Not good for representing spatially continuous phenomena
– Potentially complex data structure (especially for polygons);
- can lead to long processing time for analytical operations
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Raster Data
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Raster Data Model
origin is set explicitly
cell size is always known
cell references (row/column locations)are known
cell values are referencedto row/column location
values represent numerical phenomena orindex codes for non-numerical phenomena
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Raster Data Model
• digital orthophoto
• digital elevation model (DEM)
A few different types of raster data
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Raster Data Model
Characteristics:
Rectangular grid of square cells
– Shape of discrete polygonal features generalized by cells
+ Continuous (surface) data represented easily
+ Simple data structure
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Raster Data Model
Good at representing continuous phenomena, e.g.,
Wind speed
Elevation, slope, aspect
Chemical concentration
Likelihood of existence of a certain species
Electromagnetic reflectance (photographic or satellite imagery)
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Ecological Applications: Vol. 17, No. 2, pp. 508–526.
LINKING OCCURRENCE AND FITNESS TO PERSISTENCE: HABITAT-BASED APPROACH FOR
ENDANGERED GREATER SAGE-GROUSE
Cameron L. Aldridge and Mark S. Boyce
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Well_dst 10m cont. distance to nearest standing energy well
Rd_dst 10m cont. distance to nearest road
SB 10m cont. % sagebrush cover determined from a.p.
Crop_dst 10m cont. distance to nearest cultivated land
pCrop 10m cont. prop. of crop in a 1-km moving window
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Homework
Read “getting data into ArcGIS Maps”, “displaying layers”, “changing layer display properties”, “project and data management”, “sample data”, “data export”
Assignment 2. “Introduction to GIS” (due January 22)