- Page 1 and 2: International Training Course on
- Page 3 and 4: What is GIS?A widely accepted defin
- Page 5: What is GIS?‣Where do certain con
- Page 9 and 10: The Nature of Geographic DataGeogra
- Page 11 and 12: AttributesThe Nature of Geographic
- Page 13 and 14: TimeThe Nature of Geographic DataGe
- Page 15 and 16: There may be three main reasons for
- Page 17 and 18: The Components of GIS‣People incl
- Page 19 and 20: The Components of GISHardware consi
- Page 21 and 22: Data InputThe Components of GISThe
- Page 23 and 24: Data QualityLineageThe source mater
- Page 25 and 26: Attribute AccuracyData QualityAn at
- Page 27 and 28: GIS Spatial Data ModelsThere are tw
- Page 29 and 30: Comparison of Vector and Raster Mod
- Page 31 and 32: Raster Data Model‣The size of the
- Page 33 and 34: 1. Traditional Raster EncodingIt re
- Page 35 and 36: 2. Run_Length raster encoding‣In
- Page 37 and 38: 3. Quadtree raster encodingRoot : t
- Page 39 and 40: Vector Data ModelSpaghetti Model‣
- Page 41 and 42: Vector Data ModelTopological Model
- Page 43 and 44: Topological ModelNodes, Arcs, and P
- Page 45 and 46: Topological ModelArc-Node data mode
- Page 47 and 48: Triangulated Irregular Network (TIN
- Page 49 and 50: Triangulated Irregular Network (TIN
- Page 51 and 52: A Classification of GIS Analysis Fu
- Page 53 and 54: A Classification of GIS Analysis Fu
- Page 55 and 56: 1. Maintenance and analysis of the
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Maintenance and analysis of the spa
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2. Maintenance and analysis of attr
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3. Integrated analysis of spatial a
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3. Integrated analysis of spatial a
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3. Integrated analysis of spatial a
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3. Integrated analysis of spatial a
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Subtraction3. Integrated analysis o
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3. Integrated analysis of spatial a
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Logical Operations on Raster: LOGIC
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Overlay AnalysisVector overlay gene
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Raster overlay‣Raster overlay pro
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Connectivity (Network) Operations:M
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Connectivity (Network) Operations:C
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Connectivity (Network) Operations:P
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Network FunctionsConnectivity (Netw
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Connectivity (Network) Operations:N
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OUTPUT FUNCTIONSMap AnnotationTitle
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Geostatistical analysis‣Sample po
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Calculate the empirical semivariogr
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Understanding a semivariogram—the
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Calculate the empirical semivariogr
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Calculating the empirical semivario
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Calculating the empirical semivario
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Calculating the empirical semivario
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Fitting a model to the empirical se
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Fitting a model‣For simplicity, t
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;ג In order to solve for109
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Make a predictionThe kriging weight
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Kriging variance‣One of the stren
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LABRATORY WORK‣ You will use the
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