Questions tagged [polygon]
On a map, a closed shape defined by a connected sequence of x,y coordinate pairs, where the first and last coordinate pair are the same and all other pairs are unique.
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In PostgreSQL how to build polygons using lines around each dot
Probably a bit hard to explain but hopefully the image can explain better
There are 2 datasets, one is a point, the other is a line. Intended outcome is having polygons based on them
The lines form a ...
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Error: Error: SaTScan in the continuous Poisson model
When I run the analysis using the continuous Poisson model in SaTScan, defining the polygon as everything within the distances between the furthest points on the map, I get the following message: &...
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Moving features of different geometries at the same time in QGIS
In QGIS 3.34 I would like to move a point feature and a polygon feature at the same time.
The polygon is a round buffer around a point. I am only able to edit the point and polygon one after the other....
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Python: Split Polygons where they overlap one another [closed]
I have a python script that produces a shapefile of polygons, created primarily using geopandas.
I wish to split polygons where they overlap each other. Ideally removing all but one feature where ...
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Get a list of the points of a QgsPolygon, using Qgis PyApi [closed]
I need to isolate the points of:
<QgsPolygon: Polygon ((-56320.23199007755465573 -166518.30815678663202561, -56565.95430758487782441 -166969.12154244974954054, -56042.58511950822139625 -166945....
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Reducing decimal places of coordinates in vector data using QGIS
I have polygon vector data, some of the polygons are imported from another 3D program (Agisoft Metashape). The imported polygons have up to 12 decimal places in the displayed coordinates (attribute ...
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Convert ~14500 features into ~500 bounding boxes covering at least the same area in QGIS
I downloaded a shapefile from OpenStreetMap that covers all ocean and coastline.
This consists of around 14500 features. What I am trying to do is generate a number of bounding boxes (say 300-1000) ...
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Grouping data points based on proximity and minimal count of attribute in QGIS
I am using QGIS to map animal counts on farms in the Midwest US and using a circle polygon to show where there are more than 30,000 animals between all the farms in that specific area. Each data point ...
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Merging attributes from line layer and polygon layer in QGIS
I am using QGIS 3.32 and have a grid layer with hexagons (so polygons) and a line layer. I would like the hexagons, which are overlapping the line layer to "take on" the attributes of the ...
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Filter polygons to find those which can contain specific dimensions [duplicate]
I have a dataset containing a large amount of polygons which act as potential locations for someone to park a van. To find the polygons that are suitable, they must be able to contain a 11.5 x 6.3 ...
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Rendering polygon by two variables in QGIS
I have a set of polygons with two variables "variable 1" which can take values A, B, C, D, and E and "variable 2" which can take values V, W, X, Y and Z.
I would want to render the ...
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Query to extract addresses in several parts of Germany is not working via QuickOSM
I a trying to extract addresses from the OpenStreetMap as polygons via QuickOSM using the keys: addr:street, addr:housenumber and addr:city.
That works quite well, but not in every part of Germany. ...
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Extracting border from shapefile and then calculate distance to the border
I started with a states boundaries shapefile. I want to extract a part of state border and then calculate the distance of village centroids to the nearest point on this border. I have already ...
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Looping through folders to find shapefiles and then merge them
I am trying to merge shapefiles into one shapefile by looping through folders. I merge them one by one by iterating through each file then merging it with an empty gdf that I set with columns that are ...
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Combine dissolve aggfunc and lambda function
I am looking to aggregate different polygons and applies analytical functions at the same time.
I have tried:
df.dissolve(by=['ville','arrondissement','quartier'],
aggfunc={'transaction':'count','...
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