getting data science with r and arcgis - esri€¦ · the data scientist’s toolbox spatial...
TRANSCRIPT
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GettingDataSciencewithRandArcGISShaunWalbridge
MarjeanPobuda
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https://github.com/scw/r-devsummit-2017-talk
HighQualityPDF(4MB)
ResourcesSection
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DataScience
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DataScienceAmuch-hypedphrase,buteffectivelyisabouttheapplicationofstatisticsandmachinelearningtoreal-worlddata,anddevelopingformalizedtoolsinsteadofone-offanalyses.Combinesdiversefieldstosolveproblems.
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DataScienceWhat’sadatascientist?
“Adatascientistissomeonewhoisbetteratstatisticsthananysoftwareengineerandbetteratsoftwareengineeringthananystatistician.”—JoshWills
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DataScienceUsgeographicfolksalsorelyonknowledgefrommultipledomains.Weknowthatspatialismorethanjustanxandycolumninatable,
andhowtogetvalueoutofthisdata.
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DataScienceLanguagesPython(SciPystack,Jupyter,scikit-learn,…)
C++(Tensorflow,Shark,MLC++)Java(SparkMLlib,Weka)R( )
Manyworkflowsrequirecombiningcomponentsfrommultipleenvironments.
MLtaskview
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Industrystandardforpackagemanagementinthedatasciencecontext,builtby
StartedwithPython,butasshownintheRsegmentoftheplenary,itcanbeusedtosupportR,andhybridworkflowswhichconnectmultiplelanguages.
TechnologypartnerofEsri,haveatalktomorrow:
Thurs10:30AM,MesquiteG-H
ContinuumAnaltyics
ExploringContinuumAnalytics’Open-SourceOfferings
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R
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Esriand ?IntegrationviaArcGIS–RbridgeJoined andMoretocome—GIShashistoricallybeenmorecoupledwithPython
RConsortium RFoundation
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Why ?Powerfulcoredatastructuresandoperations
Dataframes,functionalprogrammingUnparalleledbreadthofstatisticalroutines
ThedefactolanguageofStatisticiansCRAN:6400packagesforsolvingproblemsVersatileandpowerfulplotting
WeassumebasicproficiencyprogrammingSeeresourcesforadeeperdiveintoR
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RDataTypesyou’reusedtoseeing…
Numeric-Integer-Character-Logical-timestamp
…butothersyouprobablyaren’t:
vector-matrix-data.frame-factor
Datatypes
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DataFramesTreatstabular(andmulti-dimensional)dataasalabeled,indexedseriesofobservations.Soundssimple,butisagamechangerovertypicalsoftwarewhichisjustdoing2Dlayout(e.g.Excel)
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DataTypes#Createadataframeoutofanexistingsourcedf.from.csv<-read.csv("data/growth.csv",header=TRUE)
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DataTypes#Createadataframefromscratchquarter<-c(2,3,1)person<-c("Goodchild","Tobler","Krige")
met.quota<-c(TRUE,FALSE,TRUE)df<-data.frame(person,met.quota,quarter)
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DataTypesR>dfpersonmet.quotaquarter1GoodchildTRUE22ToblerFALSE33KrigeTRUE1
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0D:SpatialPoints1D:SpatialLines2D:SpatialPolygons3D:Solid4D:Space-time
spTypesEntity+Attributemodel
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R—ArcGISBridge
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R—ArcGISBridge
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R—ArcGISBridge
ArcGISdeveloperscancreatetoolsandtoolboxesthatintegrateArcGISandRArcGISuserscanaccessRcodethroughgeoprocessingscriptsRuserscanaccessorganizationsGIS’data,managedintraditionalGISways
https://r-arcgis.github.io
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R–ArcGISBridgeStoreyourdatainArcGIS,accessitquicklyinR,returnRobjectsback
toArcGISnativedatatypes(e.g.geodatabasefeatureclasses).
Knowshowtoconvertspatialdatatospobjects.
PackageDocumentation
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Demo:GettingStarted
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ArcGISvsRDataTypesArcGIS R ExampleValue
AddressLocator
Character AddressLocators\\MGRS
Any Character
Boolean Logical
CoordinateSystem
Character "PROJCS[\"WGS_1984_UTM_Zone_19N\"...
Dataset Character "C:\\workspace\\projects\\results.shp"
Date Character "5/6/20152:21:12AM"
Double Numeric 22.87918
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ArcGISvsRDataTypesArcGIS R ExampleValue
Extent Vector(xmin,ymin,xmax,ymax)
c(0,-591.561,1000,992)
Field Character
Folder Character fullpath,usewithe.g.file.info()
Long Long 19827398L
String Character
TextFile Character fullpath
Workspace Character fullpath
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AccessArcGISfromRStartbyloadingthelibrary,andinitializingconnectiontoArcGIS:
#loadtheArcGIS-Rbridgelibrarylibrary(arcgisbinding)#initializetheconnectiontoArcGIS.OnlyneededwhenrunningdirectlyfromR.arc.check_product()
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AccessArcGISfromRFirst,selectadatasource(canbeafeatureclass,alayer,oratable):
Then,filterthedatatothesetyouwanttoworkwith(createsin-memorydataframe):
ThiscreatesanArcGISdataframe–lookslikeadataframe,butretainsreferencesbacktothegeometrydata.
input.fc<-arc.open('data.gdb/features')
filtered.df<-arc.select(input.fc,fields=c('fid','mean'),where_clause="mean<100")
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AccessArcGISfromRNow,ifwewanttodoanalysisinRwiththisspatialdata,weneedittoberepresentedasspobjects.arc.data2spdoestheconversion
forus:
arc.sp2datainvertsthisprocess,takingspobjectsandgeneratingArcGIScompatibledataframes.
df.as.sp<-arc.data2sp(filtered.df)
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AccessArcGISfromRFinishedwithourworkinR,wanttogetthedatabacktoArcGIS.Writeourresultsbacktoanewfeatureclass,witharc.write:
arc.write('data.gdb/new_features',results.df)
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AccessArcGISfromRWKTtoproj.4conversion:
Interactingdirectlywithgeometries:
Geoprocessingsessionspecific:
arc.fromP4ToWkt,arc.fromWktToP4
arc.shapeinfo,arc.shape2sp
arc.progress_pos,arc.progress_label,arc.env(readonly)
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DataSciencewithR
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HadleyStackDeveloperatRStudio,ProfessoratRiceUniversityggplot2,scales,dplyr,devtools,manyothersNew,incollaborationwithWesMcKinney:
HadleyWickham
feather
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StatisticalFormulas
DomainspecificlanguageforstatisticsSimilarpropertiesinotherpartsofthelanguage
formodelspecificationconsistency
fit.results<-lm(pollution~elevation+rainfall+ppm.nox+urban.density)
caret
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LiterateProgramming
packages:RMarkdown,Roxygen2Jupyternotebooks
Ibelievethatthetimeisripeforsignificantlybetterdocumentationofprograms,andthatwecanbestachievethisbyconsideringprogramstobeworksofliterature.—DonaldKnuth,“LiterateProgramming”
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DevelopmentEnvironments
néeIPython
Bestofclasstoolsforinteractingwithdata.
RToolsforVisualStudio
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dplyrPackageBatting%.%group_by(playerID)%.%summarise(total=sum(G))%.%arrange(desc(total))%.%head(5)
Introducingdplyr
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RChallengesPerformanceissuesNotageneralpurposelanguageLackspurelyUImodeofinteraction(e.g.plotsmustbemanuallyspecified)Programmeronly.Thereisshiny,butRisfirstandforemostalanguagethatexpectsfluencyfromitsusers
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R–ArcGISBridgeDeepDive
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BuildingRScriptTools
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Demo:R-ArcGISbridge
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HowToInstallInstallwiththeRbridgeinstallDetailedinstallationinstructions
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WhereCanIRunThis?
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WhereCanIRunThis?Now:
First, 3.1orlaterArcGISPro(64-bit)1.1orlaterArcMap10.3.1orlater:
32-bitRbydefault64-bitRavailableviaBackgroundGeoprocessing
ArcGISServer10.3.1+/ArcGISEnterprise
installR
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What’sNext?CondaformanagingRenvironments
StartingatPro2.0,canbeinstalledasanyotherpackageRastersupport
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Resources
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TrainingResourcesLearnLesson:AnalyzeCrimeUsingStatisticsandtheR-ArcGISbridge
WebCourse1:UsingtheR-ArcGISbridge
WebCourse2:IntegratingRScriptsintoArcGISGeoprocessingTools
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OtherSessionsearlier
today,
yesterday,earliertoday,
GettingDataSciencewithRandArcGIS
IntegratingOpen-sourceStatisticalPackageswithArcGIS2016video
HarnessingthePowerofPythoninArcGISUsingtheCondaDistribution 2016videoScientificProgrammingwiththeSciPyStack 2015video
2016video
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RLookingforapackagetosolveaproblem?Usethe .
TonsofgoodbooksandresourcesonRavailable,checkouttheenginetofindresourcesforthelanguagewhichcanbe
difficulttolocatebecauseofthename.
CRANTaskViews
RSeek
RPackagesbyHadleyWickham
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SpatialR/DataScience Afreeand
accessibleversionoftheclassicinthefield,ElementsofStatisticalLearning.
AnIntroductiontoStaisticalLearning(PDF) website
GettingStartedinDataScience
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ArcGIS+RDemoof
CamPlouffe(EsriCA)ranan ,coversmaterialsinmoredepth.
UCPlenaryDemo:StatisticalIntegrationwithRSSN:spatialmodelingonstreamnetworks
RArcGISWorkshop
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MaterialsCourses:
Books:
KonstantinKrivoruchko(GAcreator)
Toobigtoprint.Tonsofusefulstuff,coversbothRandArcGISextensively.
HighPerformanceScientificComputingTheDataScientist’sToolbox
SpatialStatisticalDataAnalysisforGISUsers
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PackagesClusteringdemocoversmclustandsp.
Tree-basedmodels,e.g.Timeseriesdata,e.g.
CARTLittleBookofR
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RArcGISExtensions
CombinesPython,R,andMATLABtosolveawidevarietyofproblems
AnRflavoredlanguageforspatialanalysis
RArcGISBridgeMarineGeospatialEcologyTools(MGET)
GeospatialModelingEnvironment
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ConferencesuseR2016isbeingheldJuly5-7inBrussels,Belgium
Manyhappeningaroundworld,someupcomingones:ODSCEastMay3-5inBostonODSCWestNov2-4inSanFrancisco
useR!Conference
OpenDataScienceConference(ODSC)
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Closing
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OutreachResourcesandoutreach–connectthedots,wantthistobeoutreachsowecanbuildupmoreR+ArcGISpeoplewhoaren’tascommonasourcorelanguagefolks.Futureoftheproject,questions
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CommunityOpensourceproject,differentethosContributionsarethecurrency
Thatsaid,majoruptakeinthecommercialspace:MicrosoftR(boughtRevolutionAnalytics);RStudio
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ThanksRteam:DmitryPavlushko,SteveKopp,MarkJanikas;today’sspeakers
GeoprocessingTeamContactUs
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RateThisSessioniOS,Android:Feedbackfromwithintheapp
WindowsPhone,ornosmartphone?Cuneiformtabletsaccepted.
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