Latest Contributions by ShaunWalbridge

Concur that these techniques both work well, I used both when creating a global 1km hydrologic model. One issue to keep in mind is determining the correct size of erroneous polygons to remove depends on the scale of the input data and the nature of the terrain you're working with. ... View more

It doesn't seem to exist in this lib esriSRProjCS_NAD1983_UTM_Zone_1N works fine for me, the reason it isn't listed in the autocomplete you listed is two-fold: You're looking at the 'NAD1927' section, and the list isn't sorted numerically -- so all values starting with '1' will be grouped together, and 1 will be next to 10, not 2. cheers, Shaun ... View more

Have you confirmed that the WAMP environment is running against the same Python interpreter as ArcGIS, and can you perform any other operations successfully? Note that ArcGIS for Server is required for network-based access to ArcGIS. ... View more

Shaun, did you locate a different version? The one on ArcScripts is a .dll (presumably built with VB6, *not*  VBA). I just used the version listed on ArcScripts, and played around with the tool in a cursory fashion, I should've performed all analysis steps prior to commenting. It does *mostly* work, and can compute its weights, eigenvalues, and consistency ratio without issue, but the final step of combining these into a raster output fails with the error "AddRastersMapAlgb: Automation error Unspecified Error". This is, as you mentioned, due to the changes in architecture between releases. ... View more

If you let me know the source of the SRTM tiles, I can create a similar mosaic here to try with, or try selecting just the tiles around the erroneous high values -- I don't need the whole set, just an example area which exhibits the behavior, if you'd like to figure out the specific problem in doing both steps simultaneously.The drop in elevation you are seeing is expected: when you perform cubic re-sampling, you're averaging over a neighborhood of elevation values for each output cell. In both cases -- Rob Hijman's Bioclim, and SRTM -- the original data providers share versions sampled at other resolutions (e.g. SRTM30). It may be possible to side-step these issues entirely by using one of these versions as your first step, as both sources have already assessed the resampling in the methods of their dataset production. ... View more

It looks like the extension is written in VBA, a deprecated platform. To get support for VBA in 10.1, you need to install ArcGIS for Desktop VBA Compatability. I've tested AHP with VBA enabled on 10.1SP1, and it works provided the VBA support is available. ... View more

The example for IGeometry.Project should help, also IFeatureProject. ... View more

ArcGIS expects shapefiles adhere to a naming convention of 'name.shp' and related files share the same file name prefix. Trying to create a file called 'test.xml.shp' violates this convention, if you rename your Shapefile to 'test.shp' your script runs as expected. ... View more

Not a direct solution to this issue, but one thing that does help is adding your XML files to a version control system -- I do this with all of the documentation, and this allows you to move between versions easily. The issue of XML regeneration has been fixed, at 10.1SP1 if you add parameters, I can confirm the rest of the help is retained. ... View more

Not a direct solution to this issue, but one thing that does help is adding your XML files to a version control system -- I do this with all of the documentation, and this allows you to move between versions easily. The issue of XML regeneration has been fixed, at 10.1SP1 if you add parameters, I can confirm the rest of the help is retained. ... View more

We also support a variant of the TPI in the Benthic Terrain Modler (BTM), which can be used to classify terrestrial systems along with benthic ones:   http://www.arcgis.com/home/item.html?id=b0d0be66fd33440d97e8c83d220e7926 ... View more

There are a couple of ways to approach this. Probably the easiest is to stick with a pure Spatial Analyst approach to get what you're looking for, but another approach would be to convert your data into numpy arrays with RasterToNumpyArrays, which will give you access to each cell in a fine-grained way. Just using Spatial Analyst, I've put together a script which makes the required calculations. The key trick is doing separate calculations for each class in your input raster, and then summing those results to convert the counts of each type into a proportion of the total. I've committed a script which computes all three on Github:                Compute Simpson Diversity Indicies: simspon_index.py I've tried to include both the equations via LaTeX and comments where possible. The current script is verbose, and performance could be improved (it takes about 90s on a 1m cell raster with 4 classes), but hopefully this gets you the landscape measurements you need. cheers, Shaun ... View more

Can you share a sample of the data, or a location to download the relevant tiles? As a first start, do each analysis step separately: reproject, then resample to the lower resolution. This'll help determine what step is introducing the erroneous values. ... View more