Hot answers tagged data-management
Aggregate polygons tool is probably what you want? It can join polygons within the same layer based upon a defined distance tolerance. You can also set minimum size of polygons and holes to retain.
I would suggest you create a series of models using iterators. You can create a model for each type and nest the models as sub models in order to include all of them into a single model. You would have to do this because a model can have only one iterator. So each model will iterate through the data object then deltete. Use preconditions to control the flow. ...
Copy Features handles the conversion of file formats (shp into sde-fc like in your example) simply by what workspace has been defined in the output path.
With the updates in the packages I would suggest the following: shape <- shape[!is.na(shape@data$col),]
I'm not 100% sure, but it looks very much like an old-style Arc/Info Coverage. I clearly remember those having TIC, AAT and BND files. This format is somewhat similar to a file geodatabase, in that they both consist of a folder containing a number of files that make up one or more featureclasses. Their actual (binary) format is entirely different though. ...
I think this is a matter of personal preference. I tend to use the method associated with C). If I have copies (not duplicates) of the same shapefile, I can add unique attributes to each shapefile which would distinguish them from each other. This, for me, does not cause performance issues though. In regards to A), remember that you can save your style as a ...
You are calling your function with text values " " instead of field names ! !, therefore it returns true to the first condition. just try this : codeblock = """def mthree(mthre, mtwo): if mthre >= 1: return -3 if mtwo >= 2: return -5 else: return None """ expression="mthree(!countmd!,!...
One solution I managed to get to work was to use the Dissolve tool and then use Multipart to Singlepart. This first dissolved all polygons into a single polygon but did dissolve the shapefiles that were adjacent. Then using Multipart to Singlepart this created a shapefile where each merged polygon was given by a single feature in the attribute table.
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