spatial data science in arcgis: making the most of the ecosytem · python for data analysis: data...
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SpatialDataScienceinArcGIS:TheEcosystem
ShaunWalbridge
KevinButler
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https://github.com/scw/ds-scipy-devsummit-2020-talk
HighQualityPDF(5MB)
ResourcesSection
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DataScience
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Theapplicationofcomputationalmethodstoallaspectsoftheprocessofscientificinvestigation–dataacquisition,datamanagement,analysis,visualization,andsharingofmethodsandresults.
DataScience
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ArcGISforspatialdatascience
ArcGISisasystemofrecord.Combinedataandanalysisfrommanyfieldsandintoacommonenvironment.Whyextend?Can’tdoitall,wesupportover1600GPtools—enablingintegrationwithotherenvironmentstoextendtheplatform.ArcGISisanecosystemthatlendsitselfverynicelytothewaythatspatialdatascientistsalreadywork.
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What’sintheEcosystem
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PythoninArcGISPythonAPIfordrivingArcGISDesktopandServerAfullyintegratedmodule:importarcpyInteractiveWindow,PythonAddins,PythonTooboxesArcGISAPIforPythonHostedNotebooksNotebooksinArcGISPro
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Demo:NotebooksinPro
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CorePythonLibraries
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WhySciPy?Mostlanguagesdon’tsupportthingsusefulforscience,e.g.:
VectorprimitivesComplexnumbersStatistics
Objectorientedprogrammingisn’talwaystherightparadigmforanalysisapplications,butistheonlywaytogoinmanymodernlanguagesSciPybringsthepiecesthatmatterforscientificproblemstoPython.
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IncludedSciPyPackage KLOC Contributors Stars
52 229 4293
36 587 13408
85 214 7396
236 738 9868
183 1433 18431
387 699 5522
243 730 5617
Andover100additionalpackages.Checkthemout!
dask
IPython
JupyterLab
NumPy
Pandas
SciPy
SymPy
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PlottinglibraryandAPIforNumPydata
Proalsoincludesarcpy.chartforplottingviaProcharts
UC2020:EmbeddedProchartsinnotebooks
MatplotlibGallery
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ArcGISwithNumPy
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1. Anarrayobjectofarbitraryhomogeneousitems2. Fastmathematicaloperationsoverarrays
,CC-BYSciPyLectures
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ArcGISandNumPycaninteroperateonraster,table,andfeaturedata.SeeIn-memorydatamodel.Examplescriptto
ifworkingwithlargerdata.Usearcgis’SeDFifyouneedahigh-levelinterface
forfeaturedata
WorkingwithNumPyinArcGISprocessby
blocks
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ArcGISwithNumPy
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Computationalmethodsfor:
Integration( )Optimization( )Interpolation( )FourierTransforms( )SignalProcessing( )LinearAlgebra( )Spatial( )Statistics( )Multidimensionalimageprocessing( )
scipy.integratescipy.optimizescipy.interpolate
scipy.fftscipy.signal
scipy.linalgscipy.spatial
scipy.statsscipy.ndimage
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UseCase:BenthicTerrainModeler
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LightweightSciPyIntegration
Usingscipy.ndimagetoperformbasicmultiscale
analysisUsingscipy.statstocomputecircularstatistics
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LightweightSciPyIntegration
Examplesource
importarcpyimportscipy.ndimageasndfrommatplotlibimportpyplotasplt
ras="data/input_raster.tif"r=arcpy.RasterToNumPyArray(ras,"",200,200,0)
fig=plt.figure(figsize=(10,10))
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LightweightSciPyIntegration
foriinxrange(25):size=(i+1)*3print"running{}".format(size)med=nd.median_filter(r,size)
a=fig.add_subplot(5,5,i+1)plt.imshow(med,interpolation='nearest')a.set_title('{}x{}'.format(size,size))plt.axis('off')plt.subplots_adjust(hspace=0.1)
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Pandas
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PanelData—likeR“dataframes”BringarobustdataanalysisworkflowtoPythonDataframesarefundamental—treattabular(andmulti-dimensional)dataasalabeled,indexedseriesofobservations.
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SpatialDataFramesSamedataframemodel+geometriesArcPy+ArcGISAPIforPythonContinuestoexpandandimproveperformance
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ArcPyImprovements
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ArcPyImprovementsarcpy.metadatafortransformingyourmetadata
arcpy.naxforrichnetworkanalysis
Rastercelliteratorsforcustomper-cellrasteranalysiswithoutneedingtocopydatausingNumPy#DOCELLRISESarcpy.SetParameterSymbologyforrichanalyticalresultslikeChartsandpopups
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ArcPyImprovementsRichrepresentationsfordatalikearcpygeometries,
rastersMorecomingUC2020
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Integration
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IntegrationOK,sowe’vecoveredcorelibrariesthatexistwithintheProPythondistribution.Whataboutgoingbeyondthis?
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IntegrationWhatkindofcodeisbeingrun?
ThePrincipleofstackminimization
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Demo:MetPy
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MassivedataparallelismthroughPythonComputesgraphsofthecomputationalstructure
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Demo:Dask&TyingItTogether
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RRStatisticalProgrammingLanguagePowerfulcoredatastructuresforanalysisUnparalleledbreathofstatisticalroutines
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R-ArcGISBridgeAccesstolocalandremotedata
TransformtonativeRspatialtypes(sf,sp,raster)
CallArcPythroughreticulate
UseinRStudio
MakeGPtoolswhichcallR
JupyterNotebookswithR:condainstallr-arcgis-essentials
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Demo:R
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fromfutureimport*
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RoadAheadContinuedimprovementsinDeepLearninginPro—makethisexperienceasseamlessandassimpleaspossibleRichrepresentations(__repr__)formanyobjectsin
ArcPyandProArcPyinExternalCondaenvironments(detectsPro)
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ProExternalEnvironments
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Resources
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NewtoPythonCourses:
Books:
ProgrammingforEverybodyCodecademy:PythonTrack
LearnPythontheHardWayHowtoThinkLikeaComputerScientist
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GISFocusedPythonScriptingforArcGISArcPyandArcGIS-GeospatialAnalysiswithPythonPythonDevelopersGeoNetCommunityGISStackexchange
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ScientificCourses:
PythonScientificLectureNotesHighPerformanceScientificComputingCodingtheMatrix:LinearAlgebrathroughComputerScienceApplicationsTheDataScientist’sToolbox
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ScientificBooks:
Free:
verycompellingbookonBayesianmethodsinPython,usesSciPy+PyMC.
ProbabilisticProgramming&BayesianMethodsforHackers
KalmanandBayesianFiltersinPython
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ScientificPaid:
HowtouselinearalgebraandPythontosolveamazingproblems.
ThecannonicalbookonPandasandanalysis.
CodingtheMatrix
PythonforDataAnalysis:DataWranglingwithPandas,NumPy,andIPython
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PackagesOnlyrequireSciPyStack:
Scikit-learn:
IncludesSVMs,canusethoseforimageprocessingamongotherthings…
FilterPy,Kalmanfilteringandoptimalestimation:
Lecturematerial
FilterPyonGitHubAnextensivelistofmachinelearningpackages
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Code
AnopensourcecollectionoffunctionchainstoshowhowtodocomplexthingsusingNumPy+scipyontheflyforvisualizationpurposes
withahandfulofdescriptivestatisticsincludedinPython3.4+.TIP:WantacodebasethatrunsinPython2and3?
,whichhelpsmaintainasinglecodebasethatsupportsboth.Includesthefuturizescripttoinitiallyaprojectwrittenforoneversion.
ArcPy+SciPyonGithubraster-functions
statisticslibrary
Checkoutfuture
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ScientificArcGISExtensions
CombinesPython,R,andMATLABtosolveawidevarietyofproblems
speciesdistribution&maximumentropymodels
PySALArcGISToolboxMovementEcologyToolsforArcGIS(ArcMET)MarineGeospatialEcologyTools(MGET)
SDMToolbox
BenthicTerrainModelerGeospatialModelingEnvironmentCircuitScape
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Conferences
ThelargestgatheringofPythonistasintheworld
AmeetingofScientificPythonusersfromallwalks
ThePythoneventforPythonandGeoenthusiasts
TalksfromPythonconferencesaroundtheworldavailablefreelyonline.
PyCon
SciPy
GeoPython
PyVideo
PyVideoGIStalks
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Closing
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ThanksGeoprocessingTeamArcGISAPIforPythonTeamThemanyamazingcontributorstotheprojectsdemonstratedhere.
Getinvolved!AllareonGitHubandhappilyacceptcontributions.
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