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Map Analysis with Raster Datasets Francisco Olivera, Ph.D., P.E. Department of Civil Engineering Texas A&M University
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Map Analysis with Raster Datasets

Jan 02, 2016

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Map Analysis with Raster Datasets. Francisco Olivera, Ph.D., P.E. Department of Civil Engineering Texas A&M University. Map Query. Map Query is a local function that creates a grid with cell values 1 (true), 0 (false) or NODATA depending on the outcome of a condition. - PowerPoint PPT Presentation
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Page 1: Map Analysis with Raster Datasets

Map Analysis with Raster Datasets

Francisco Olivera, Ph.D., P.E.Department of Civil Engineering

Texas A&M University

Page 2: Map Analysis with Raster Datasets

Map Query

Map Query is a local function that creates a grid with cell values 1 (true), 0 (false) or NODATA depending on the outcome of a condition.

The condition can involve one or more grids.

To query grids, click on Analysis/Map Query…

DEM < 100

Page 3: Map Analysis with Raster Datasets

Cell Statistics

Cell Statistics is a local function that creates a grid with cell values equal to a statistic of the corresponding cell values of the input grids.

The statistic can be: majority, maximum, mean, median, minimum, minority, range, standard deviation, sum and variety.

To calculate the statistics of a set of cells, make the themes active, and click on Analysis/Cell Statistics…

Page 4: Map Analysis with Raster Datasets

Neighborhood Statistics

Neighborhood Statistics is a focal function that creates a grid with cell values equal to a statistic of the neighborhood cell values of the input grid.

The statistic can be: majority, maximum, mean, median, minimum, minority, range, standard deviation, sum and variety.

The neighborhood can have different shapes.

To calculate neighborhood statistics, make the grid active, and click on Analysis/Neighborhood Statistics…

Mean over a 5-cell-radius circular neighborhood

Page 5: Map Analysis with Raster Datasets

Summarize ZonesSummarize Zones is a zonal function that creates a table with all the statistics of the cell values within each zone. Table rows correspond to zones and columns to statistics.

The statistics are: majority, maximum, mean, median, minimum, minority, range, standard deviation, sum and variety.

The zones can be defined by polygons or (integer) grid cells with the same value.

To summarize by zones, click on Analysis/Summarize Zones…

Page 6: Map Analysis with Raster Datasets

Histograms by Zones

Histogram by Zone is a zonal function that creates a column chart of histograms of the cell values within each zone.

The zones can be defined by polygons or (integer) grid cells with the same value.

To create the zone histograms, click on Analysis/Histograms by Zones…

Page 7: Map Analysis with Raster Datasets

Tabulate Areas

Tabulate Areas is a zonal function which creates a table that stores the area of the common areas of zones defined by two themes of zones.

The zones can be defined by polygons or (integer) grid cells with the same value.

To create the zone histograms, click on Analysis/Tabulate Areas.

Page 8: Map Analysis with Raster Datasets

Find Distance

Find Distance is a global function which creates a grid that stores the Euclidean distance from the cell to the closest feature or non-NODATA cell.

To find the distance, click on Analysis/Find Distance.

Page 9: Map Analysis with Raster Datasets

Assign Proximity

Assign Proximity is a global function which creates a grid that stores the identification number of the closest feature or non-NODATA cell.

To assign proximity, click on Analysis/Assign Proximity.

Page 10: Map Analysis with Raster Datasets

Interpolate grid

Interpolate grid is a global function which creates a grid that stores values interpolated from a point feature dataset.

To interpolate a grid, click on Surface/Interpolate Grid.

Page 11: Map Analysis with Raster Datasets

Create Contours

Create contours creates a line feature dataset in which the lines connect points of equal cell value.

To create contours, click on Surface/Create contours.

Page 12: Map Analysis with Raster Datasets

Derive Slope

Derive Slope is a neighborhood function which creates a grid of maximum rate of change of the cell values of the input grid. The slope is derived based on a 3 x 3 –cell neighborhood.

Derive slope does not indicate the direction of the calculated slope.

To derive the slope, click on Surface/Derive Slope.

Page 13: Map Analysis with Raster Datasets

Derive Aspect

Derive Aspect is a neighborhood function which creates a grid of aspect or direction of maximum slope of the cells of the input grid.

Aspect values are in degrees with 0° for the North direction.

To derive the slope, click on Surface/Derive Aspect.

Page 14: Map Analysis with Raster Datasets

Compute Hillshade

Compute Hillshade is a neighborhood function which creates a grid of surface brightness for a given position of a light source.

Hillshade values can be used to enhance the legend of themes.

To derive the slope, click on Surface/Compute Hillshade.

Page 15: Map Analysis with Raster Datasets

Line Profile

Line Profile creates a chart and dbf table of grid values vs. distance along selected features of the line theme.

Merges selected features of the line theme, finds points at equal intervals (user is queried for number of divisions of merged line), and queries grid theme for cell values at points. .

To derive the slope, click on CRWR-Raster/Line Profile

Page 16: Map Analysis with Raster Datasets

Raster Data Development

Mosaic creates a grid out of a set of grids. In non-overlapping zones, the output grid cells are assign the value of the input grid. In overlapping zones, smooth transitions are calculated. Output grid cells are assign NODATA wherever all input grids have NODATA cells. To mosaic grids, click on CRWR-Raster/Mosaic.

Merge creates a grid out of a set of grids. In non-overlapping zones, the output grid cells are assign the value of the input grid. In overlapping zones, the output grid cells take the value from the input grids according to their priority. Input grids are given a priority when calling the Merge function. NODATA cells in input grids are ignored. Output grid cells are assign NODATA wherever all input grids have NODATA cells. To merge grids, click on CRWR-Raster/Merge.

Resample changes the cell size of a grid by interpolation. No new data is generated. To resample grids, click on CRWR-Raster/Resample.

Page 17: Map Analysis with Raster Datasets

Raster Data Development

Clip Grid by Graphic creates a grid in which the cell values are equal to the input grid inside the selected graphic, and NODATA outside.

To clip grids by graphics, click on CRWR-Raster/Clip Grid by Graphic.

Page 18: Map Analysis with Raster Datasets

Raster Data Development

Clip Grid by Polygons creates a grid in which the cell values are equal to the input grid inside the selected polygons of the feature dataset, and NODATA outside.

To clip grids by polygons, click on CRWR-Raster/Clip Grid by Polygons.