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Spatial Analyst Toolbox Lecture 17

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Page 1: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

Spatial Analyst Toolbox

Lecture 17

Page 2: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

Spatial Analyst Tool Sets

Spatial Analyst Tool Sets

ConditionalDensityDistanceGeneralizationGround WaterInterpolation

ConditionalDensityDistanceGeneralizationGround WaterInterpolation

Page 3: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

LocalMathReclassSurfaceZonal

LocalMathReclassSurfaceZonal

Page 4: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

Spatial Analyst Tools work with Raster DataSpatial Analyst Tools work with Raster Data

Spatial Analyst Tools calculate an output value for your specific location (cell).

You need to know three things to calculate an output value:The value of your specified location (cell)

The manipulation of the operator or function

Which other cell locations and their values to include in your calculations.

Spatial Analyst Tools calculate an output value for your specific location (cell).

You need to know three things to calculate an output value:The value of your specified location (cell)

The manipulation of the operator or function

Which other cell locations and their values to include in your calculations.

Page 5: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

Types of FunctionsTypes of Functions

LocalLocal functions rely on the value in a single cell of a raster database in order to produce an output raster value.E.g. Sin

FocalFocal functions rely on the value in a single cell and the cells surrounding it, defined as a neighborhood, in order to produce an output raster value.E.g. Mean

LocalLocal functions rely on the value in a single cell of a raster database in order to produce an output raster value.E.g. Sin

FocalFocal functions rely on the value in a single cell and the cells surrounding it, defined as a neighborhood, in order to produce an output raster value.E.g. Mean

Page 6: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

ZonalZonal functions rely on the value in a single cell and cells in a zone that is defined in the calculation to produce an output raster value.

The zone is not necessarily contiguous with the first cell, and each zone may be unique.E.g. Mean

ZonalZonal functions rely on the value in a single cell and cells in a zone that is defined in the calculation to produce an output raster value.

The zone is not necessarily contiguous with the first cell, and each zone may be unique.E.g. Mean

Page 7: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

GlobalGlobal functions calculate an output data set where a calculation is done at each cell location, taking input for the calculation from various input raster datasets.

There are two groups of global functions:Euclidean distance global functionsWeighted distance global functions

ApplicationApplication functions are functions that are designed to produce an output for a specific purpose.E.g. Stream networks or watershed deliniation

GlobalGlobal functions calculate an output data set where a calculation is done at each cell location, taking input for the calculation from various input raster datasets.

There are two groups of global functions:Euclidean distance global functionsWeighted distance global functions

ApplicationApplication functions are functions that are designed to produce an output for a specific purpose.E.g. Stream networks or watershed deliniation

Page 8: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

Interpolation ToolsetInterpolation Toolset

Estimates values that you don’t have by using values that you do have.E.g. County temperatures are measured at a few specific locations, but you can predict the temperature at any point in the county .

KrigingIDW (Inverse Distance Weighting)Spline Interpolation

Estimates values that you don’t have by using values that you do have.E.g. County temperatures are measured at a few specific locations, but you can predict the temperature at any point in the county .

KrigingIDW (Inverse Distance Weighting)Spline Interpolation

Page 9: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

Kriging, IDW and Spline Interpolation

Kriging, IDW and Spline Interpolation

Each of these tools takes a set of points and produces a raster that estimates a value for each cell in the raster.

Each of these tools uses a different algorithm, and will return different results.Try different methods and see which makes sense for the data that you have.

Each of these tools takes a set of points and produces a raster that estimates a value for each cell in the raster.

Each of these tools uses a different algorithm, and will return different results.Try different methods and see which makes sense for the data that you have.

Page 10: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

Each cell has three important values for interpolation.X and Y value locationZ value data

E.g. precipitation

The estimation is based on the value at the known points.It’s best to have evenly distributed sample points.

The more points and more distributed the points, the more accurate the estimation.

Each cell has three important values for interpolation.X and Y value locationZ value data

E.g. precipitation

The estimation is based on the value at the known points.It’s best to have evenly distributed sample points.

The more points and more distributed the points, the more accurate the estimation.

Page 11: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

Activating Spatial Analyst Extension

License

Activating Spatial Analyst Extension

LicenseIf the Spatial Analyst Extension is not activated:Tools

ExtensionsCheck Extensions to activate the License

If the Spatial Analyst Extension is not activated:Tools

ExtensionsCheck Extensions to activate the License

Page 12: Spatial Analyst Toolbox Lecture 17. Spatial Analyst Tool Sets  Conditional  Density  Distance  Generalization  Ground Water  Interpolation  Conditional

Important IssuesImportant Issues

To do spatial analysis:Can’t use Join or Relate to link tables.

The Data must be added to the attribute table in the shapefile.

To do spatial analysis:Can’t use Join or Relate to link tables.

The Data must be added to the attribute table in the shapefile.