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

More documents

Recommendations

Info

Creation of g vector for the unmeasured locationThe g vector for (1,4) is13.5x2=27110
Make a predictionThe kriging weights for the measured Values used, to calculate a prediction forthe location with the unknown value.kriging weights vector is solved by using ק matrix and g vector by:46.757+10.3257+……-1.679=102.6218111
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 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 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 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: 118
Page 120 and 121: 120
show all

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

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?