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How to smooth polygons in Python using shapely filling?
The purple is the original polygon to be smoothed and I would like to smooth the polygons as the red line using Python. I tried simplify but looks like I need a buffer and simplify the buffer.
How to read a shape file in Python?
After the initial comment block and library import, the code reads in the shapefile using the string variables that give the location of the shapefile directory (data_dir) and the name of the shapefile without extension (shp_file_base): sf = shapefile.Reader (dat_dir+shp_file_base)
How can I smooth my data in Python?
If you can plot it, use the moving average/rolling mean and identify the window size which suites your data. As mentioned in the comments, you can take the moving average, which sort of works like a convolutional layer. It averages the values from 0 to n and sets that as point 0.
What are the attributes of a shape in Python?
For each shape (or state), there are a number of attributes defined: bbox, parts, points and shapeType. The pyshp documentation describes each, and I’ll touch on each one in the following (except for shapeType). The first thing I wanted to do after importing the shapefile was just plot a single state.
How to apply unique value to polygons in ArcGIS?
You will need to set your analysis extent to your original raster and then set a background value (i.e., 0) to the rasterized polygon raster using SetNull. Once you have done this a conditional statement in the raster calculator will look something like this.
How to mask with polygons in ArcGIS 9.3?
In ArcGIS 9.3, I have a raster file that I would like to “mask” with polygons, giving a single value to all the raster cells that overlap the polygons. How can I do this? Here’s a screen shot, where the black polygons are my polygon layer, and the rest is raster-based. You can use a conditional statement.
What happens when you rasterize polygons in ArcGIS?
The issue with previous recommendations is that when you rasterize your polygons (which is necessary) the background, that does not contain polygons, will be NoData resulting in corresponding areas in the output also being NoData.