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How to statistically compare two spatial data sets?
Sofia, if you want to find out correlation between two spatial data sets, either two data sets are correlated or not, you can use regression option in Idrisi image processing software, it will tell you the correlation status and regression line also. For that analysis, your two data sets should be in raster format and same pixel size.
Is the problem of discrimination of two maps binary?
The problem may be a straightforward discrimination/classification problem, and discrimination of two maps suggests a binary class (dependent) variable. However, statement of the problem requires clarification.
What is the coefficient of intersection between two rasters?
This coefficient is equal to: the INTERSECTION between the two rasters divided by the UNION between the two rasters. Now, in terms of this specific example, the INTERSECTION is the number of only those cells that the two rasters have in common (i.e., the number of overlapping path cells).
How to statistically compare two maps in raster format?
If your maps are in raster format there is a tool Band Collection Statistics. See Assuming both maps are spatially on the same place (so every location has 2 values, one on each map) you can calculate correlation (continue variable) or similarity (discrete variable) directly. For continue variables you may try:
How to statistically compare two maps by location?
Measures correlation, randomizes locations repeats analysis. Each iteration gives new correlation. based in the actual correlation within the populated distribution it gives you probability that the spatial locations is significant in terms of the data.
How to investigate and represent this relationship in ArcGIS?
Does anyone have any ideas of how I can investigate and represent this relationship in Arcgis? Two options – If you are doing a global correlation (between all points or cells in your study area) then extract values to points and you can use the OLS tools in the Spatial Statistics toolbox. Then you can plot the residuals.
How to calculate the correlation between two datasets?
Cross-covariance analysis allow you to calculate the correlation between two datasets at the same spatial location, while also accounting for correlations with neighbouring locations. Co-regionalisation type methods produce spatial models which highlight areas with shared spatial patterns.