3. Integrated analysis of spatial and attribute data - RTC, Regional ...

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Organizing Geographic Data ForAnalysis‣In GIS a data layer consists of logicallyrelated geographic features and theirattributes‣the organizing principal of data layers is beto group similar feature types..‣each layer is registered positionally toother layers through a common coordinatesystem‣in principle, the number of layers isunlimited, restrictions being imposed only bystorage space14
There may be three main reasons for segregating geographic information intoseparate layersOrganizing Geographic Data ForAnalysis‣ to simplify the combination of features‣ to perform manipulation and analysis on multiple data sets‣ to let a smaller scale database lead to a larger scale database showing moredetail15
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 8 and 9: It is one of the most important ele
Page 10 and 11: Geographic PositionThe Nature of Ge
Page 12 and 13: The Nature of Geographic DataSpatia
Page 16 and 17: The Components of GIS‣All of thes
Page 18 and 19: The Components of GISMethods includ
Page 20 and 21: The Components of GISSoftwareAll pa
Page 22 and 23: Data InputData QualityErrors in the
Page 24 and 25: Positional AccuracyData Qualityexpe
Page 26 and 27: SPATIALDATAMODELS26
Page 28 and 29: GIS Spatial Data ModelsRepresentati
Page 30 and 31: Raster Data ModelIn the raster data
Page 32 and 33: Raster Data ModelRaster file can be
Page 34 and 35: 1. Traditional Raster Encoding34
Page 36 and 37: 3. Quadtree raster encoding‣provi
Page 38 and 39: Vector Data ModelIn the vector data
Page 40 and 41: Vector Data Model‣The data model
Page 42 and 43: Topological ModelTopological relati
Page 44 and 45: Topological ModelOther names for No
Page 46 and 47: Some Basic Topological Relationship
Page 48 and 49: Triangulated Irregular Network (TIN
Page 50 and 51: GIS ANALYSIS FUNCTIONS50
Page 52 and 53: A Classification of GIS Analysis Fu
Page 54 and 55: 1. Maintenance and analysis of the
Page 56 and 57: Edge-matching :Maintenance and anal
Page 58 and 59: Maintenance and analysis of the spa
Page 60 and 61: Attribute query functions2. Mainten
Page 62 and 63: 3. Integrated analysis of spatial a
Page 64 and 65:
3. Integrated analysis of spatial a
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Page 72 and 73:
Logical Operations on Raster: LOGIC
Page 74 and 75:
Overlay Analysis‣One of the major
Page 76 and 77:
Vector overlayThe process of subdiv
Page 78 and 79:
Comparison of Vector and Raster Ove
Page 80 and 81:
Connectivity (Network) Operations:
Page 82 and 83:
Connectivity (Network) Operations:P
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Connectivity (Network) Operations:P
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Network FunctionsConnectivity (Netw
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Connectivity (Network) Operations:N
Page 90 and 91:
The principles of geostatistical an
Page 92 and 93:
Geostatistical Analyst‣A major ch
Page 94 and 95:
Calculate the empirical semivariogr
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Modeling a semivariogram‣spatial
Page 98 and 99:
Calculate the empirical semivariogr
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Binning the empirical semivariogram
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Calculating the empirical semivario
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Fitting a model‣Now you can plot
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Different types of semivariogram mo
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Creation of g vector for the unmeas
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Make a prediction‣the weights dec
Page 114 and 115:
‣The kriging standard error value
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THANK YOU116
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