Tag Info

Hot answers tagged

4

To check out the extension outside of ArcGIS, add this line at the beginning of the script, after the import statements. arcpy.CheckOutExtension("Spatial")


3

I wanted to write a comment, but i don´t have points enough. I think that what you need is to do a classification by texture. Last week i was on a seminar where the aim was to classify images of high resolution with texture and variograms (geostatistics). you can read this: http://www.sciencedirect.com/science/article/pii/S0098300499001181 atkinson & ...


2

Three band images are generally not sufficient for high quality land cover classifications. Usually at least near infrared band is required. When I was classifying one image that had four bands (r,g,b,nir) I also calculated NDVI and included it in classification. As you probably don't have nir band you could add more information for the classification using ...


2

Do you have access to the point cloud from the imagery? In mosaicing the images from the drone, depending on software, you can export a 3D point cloud. You then can use LASTools to classify the ground points and then convert to a DEM.


2

You should be able using the 'zonal statistics as table' tool that you mention. There is an option of what 'statistics type' to calculate, select "All" and the last column of the resulting table will be a sum of all pixels within each specified zone.


2

To answer your question directly, crime obviously follows population, just like disease or any other human "event" you might be measuring. To directly compare you could normalise both population and crime figures to z-scores, and classify each region as HH, LL, HL, LH, or come up with a way to combine the figures, but I think to answer your question you need ...


2

Error 000539 indicates that an invalid calculation has been attempted: Arcgis 10.0 Resource Center Link Based on what @Ray commented below the question, the error was caused by the use of the Make Raster Layer tool. Since this tool creates a temporary raster for use in calculations, it's likely that the necessary raster already existed as an output from ...


2

I'm not sure how to manage your changing neighborhood size, but here is already an answer. Iterate Rasters runs the same tool/chain of tools for a series of datasets in the specified workspace, so it's not going to do what you need. If you want to reuse the output of the model as input a number of times, you should do the following: Right-click the input ...


1

The surface area cannot be computed solely from the sum of slopes. (Think about what would happen for a perfectly horizontal surface: the sum of the slopes would be zero regardless of the surface's extent.) The area of each raster cell, which is a rectangle, is the product of the two cell sides--assuming you are using an equal area projection. (If you are ...


1

The general properties (cell size, coverage extent, geographic projections, datums, units, etc) of raster datasets can be viewed in numerous ways with ESRI products. In ArcMap, you can right-click on the raster and select 'Properties'. Under the 'Source' tab, you will see a dialog window with the many properties of your raster that you can use to determine ...


1

I just ran into a similar problem and used the idea here to tell Python that my layers are rasters using Raster(). However, I did this not in the Con() function itself, but rather before that, when specifying the in_conditional raster, in_true_raster and in_false raster. E.g., inRaster1 = Raster("mydata1") inRaster2 = Raster("mydata2") outCon = ...


1

If you have the Spatial Analyst extension, it sounds like you may be able to make use of the Path Distance tool. You will need an elevation raster to serve as input. The tool will output a raster with a value in each cell that represents the shortest distance to one of your points from that cell, taking the topography into account in its calculations. Of ...



Only top voted, non community-wiki answers of a minimum length are eligible