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

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Raster Data ModelRaster file can be achieved by using various methods of data compression such as:‣ 1. Traditional raster encoding‣ 2. Run_Length raster encoding‣3. Quadtree raster encoding32
1. Traditional Raster EncodingIt repeats storing the same value for each cell33
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 14 and 15: Organizing Geographic Data ForAnaly
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 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 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
Page 84 and 85:
Connectivity (Network) Operations:P
Page 86 and 87:
Network FunctionsConnectivity (Netw
Page 88 and 89:
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
Page 96 and 97:
Modeling a semivariogram‣spatial
Page 98 and 99:
Calculate the empirical semivariogr
Page 100 and 101:
Binning the empirical semivariogram
Page 102 and 103:
Calculating the empirical semivario
Page 104 and 105:
Fitting a model‣Now you can plot
Page 106 and 107:
Different types of semivariogram mo
Page 108 and 109:
108
Page 110 and 111:
Creation of g vector for the unmeas
Page 112 and 113:
Make a prediction‣the weights dec
Page 114 and 115:
‣The kriging standard error value
Page 116 and 117:
THANK YOU116
Page 118 and 119:
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