ArcSDE - Northeast Arc Users Group

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Pixel Resampling Methods• Used in both pyramid creation and display resampling• Interpolates pixel values from original raster valuesForDiscreteData Nearest neighbor• Value of nearest pixel• Does not create new values• Fastest overallForContinuousData Bilinear interpolation• Weighted average of fournearest pixels• Faster than cubic convolution• Smooths most imagery Cubic convolution• Sixteen nearest pixels• Usually most pleasing result• Sharpens most imagery
Pyramid Enhancements• Raster Dataset Partial Pyramid Updating– Pyramids are updated for only the area that is updated• IF the area updated is to the south and west of the pyramidreference point• By default, this is the top-left hand corner of the imageRebuild all pyramidsRebuild all pyramidsUpdates in this areacause pyramids to bebuilt for this area only
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New technologies better enablingWor
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ESRI’s s GIS Platform
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ArcObjects and GeodatabaseArcGIS is
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Model Real World Features for bette
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Processes and Workflows• With inc
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Enterprise and Knowledge• Educati
Page 21 and 22:
Three kinds of Geodatabases1. Perso
Page 23 and 24: Spatial Data Formats• Storing spa
Page 25 and 26: Database ArchitecturesSQL Server 7/
Page 27 and 28: ArcSDE Connection ArchitecturesAppl
Page 29 and 30: Spatial Referenceby Feature Class o
Page 31 and 32: ArcGIS Desktop HelpPrecision and Ex
Page 33 and 34: ArcSDE data types• Storage of:- P
Page 35 and 36: Common GIS Dataset TypesFeature Cla
Page 37 and 38: Attribute domains, relationships, a
Page 39 and 40: Networks - To model navigation, flo
Page 41 and 42: Feature Datasets• Contain feature
Page 43 and 44: Raster Catalogs - To manage a tiled
Page 45 and 46: ArcCatalogManaging Workspaces and G
Page 47 and 48: ArcSDE client accessArcObjectsArcMa
Page 49 and 50: \arcgis\ArcSDE\Documentation\Admin_
Page 51 and 52: Primary Administrative Tables
Page 53 and 54: Storage model overview• ArcSDE fe
Page 55 and 56: Storage model overview• Versioned
Page 57 and 58: ArcSDE and Spatial column typesLAKE
Page 59 and 60: Spatial Datatype Query examplespati
Page 61 and 62: Raster Data SchemaNew at9.0
Page 63 and 64: General Storage Options• Raster D
Page 65 and 66: Raster Catalogs - To manage any ser
Page 67 and 68: Raster Columns in TablesTo hold pic
Page 69 and 70: Compressions DescribedLoss-lessLoss
Page 71 and 72: Compression Recommendations(continu
Page 73: Pyramids• Reduced resolution copi
Page 77 and 78: Shared• Default architecture• E
Page 79 and 80: Standalone1. Created as temporary t
Page 81 and 82: Default settings• SDE_server_conf
Page 83 and 84: What is Versioning?• Provides lon
Page 85 and 86: Versioned geodatabase• Method for
Page 87 and 88: Versions and States• Short Term v
Page 89 and 90: Integration and Performance• ArcS
Page 91 and 92: Geodatabase Constructs• Consider
Page 93 and 94: Views: Functional comparisonHeterog
Page 95 and 96: Different “windows” to datatype
Page 97 and 98: Moving or Exporting Data• Copy an
Page 99 and 100: Future - The Road Ahead“good reas
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ArcSDE - Northeast Arc Users Group

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