I have a number of WKB strings, couple of examples given below: I want to convert them to WKT or GeoJSON type as I am able to do using the following online tool: https://rodic.fr/blog/online-conversion-between-geometric-formats/ Is there a way for me to do the same on Python? Answer You can use shapely for this:
Tag: gis
pyproj conversion UTM to lat/long out by 3 deg
I am reading UTM point data from a shape file. The geopandas CRS string associated with the shape file is: I convert the point data to lat/long using pyproj: This gives me the correct latitude but the longitude is exactly 3 degrees out. I changed the UTM zone to utm=+20 but now am 3 degress out in the other direction.
Define a circe that circumscribes a set of points (shapefile) in python
I have a shapefile of points, defined by X and Y coordinates, ad the ID feature. I have at least 3 different points with the same ID number. I would like to define, for each ID, the shapefile of a circle that circumscribes the points. How can this be done in python environment? Answer there is a library that does
How to install djangorestframework-gis-distance
I am on Ubuntu and I tried to install djangorestframework-gis-distance I followed the instructions and installed the dependencies which installed fine. But when I install djangorestframework-gis-distance it gives an error of Which basically says I think that there is no file called pip.req. Is there another way I can install djangorestframework-gis-distance? Answer Lets see: https://pypi.org/project/djangorestframework-gis-distance/ . Latest version 1.0.0 released
degree decimal to utm conversion, python
I got surprised when I tried to convert degree decimal coordinates into utm by using available library in anacondautm. my coordinates looks like: and lat values are: when I made scatter plot it looks like normal: After converting coordinates in to utm distribution of the points change completely and looks strange like in this figure: the code that i used
Python Geo-Spatial Coordinate Format Conversion
I have a dataframe containing 6 columns of coordinate pairs: (for both latitude and longitude). This is known as the NAD83 format. I want to convert these into a new dataframe of only 2 columns in decimal format, known as NAD27. The library I typically use, geopy supports virtually every format, so there actually isn’t a dedicated conversion function. I
Plotting Distributions(Histogram) on map
I have data in the format (latitude, longitude, value). I want to plot (lat, long) -> value on a map of the city. Something like the following images: I’ve already tried the following: Python’s Matplotlib: Unable to find required functions Plotly r-barplots on map, RG-histogram-bar-chart-over-map. plot-3d-bars-on-a-map-in-matlab: This will do, but I’m trying to find a similar thing in python D3
How do I change a raster’s geotransform with GDAL?
I’m trying to use GDAL to set the geotransform of a new raster that I’ve created by following the steps outlined in the GDAL API Tutorial. The dataset.SetGeoTransform() documentation says that this should set the affine transformation coefficients (which, according to the dataset.GetGeoTransform() documentation is set to [0, 1, 0, 0, 0, 1] by default), but as you can see