Python

Line-of-Sight Analysis in Digital Elevation Models using Python

Leave a Comment / GIS, Python, Raster /

This tutorial demonstrates a line-of-sight (LOS) analysis algorithm based on Digital Elevation Models (DEMs) in python. The script processes elevation data to determine the visibility between two points, assessing terrain obstruction along the direct line connecting them. The implementation is explained, and potential applications of LOS analysis are telecommunications, urban planning, and environmental monitoring. To […]

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Interpolating bathymetry point dataset using python

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Bathymetry point data refers to a dataset containing discrete data points that represent depth measurements at specific locations in a water body, such as oceans, seas, lakes, or rivers. These points are collected during bathymetric surveys using various instruments, such as echo sounders or sonar systems. Each data point typically consists of three key components:

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GeoSpatial Analysis using GeoPandas in python

Leave a Comment / GeoPandas, GIS, Python /

In this tuorial, we will do geospatial analysis using python on UK Accidents and UK Administrative datasets. Geopandas is a library for working with geospatial data in Python. It builds on the popular Pandas library and extends its functionality to handle geospatial data. Some of the key features of Geopandas include: Here are some examples

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Read raster data from postgis using python

1 Comment / Database, GIS, PostGIS, Psycopg2, Python, Raster, Rioxarray /

In this tutorial, we will learn how to read raster data from postgis table using python. Python is a powerful tool for raster data analysis due to rich library ecosystem: Python has a large number of libraries specifically designed for geospatial data analysis, such as rasterio, rioxarray, gdal, geopandas, shapely, etc. These libraries provide a

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Big Spatial Data Visualization using DeckGL

Leave a Comment / deck.gl, GeoPandas, GIS, Python /

Big Data Visualization using DeckGL “deck.gl is a WebGL-powered framework for visual exploratory data analysis of large datasets.” In this tutorial, we will learn how to visualize large geospatial datasets using deck.gl through an example. We will take uk accidents data sets and will visualize it using deck.gl.In this tutorial, we have considered the UK

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Merge rasters in Python using Rioxarray

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Rasters merging/mosaic is one of the common task in raster processing. In this tutorial, we will merge multiple rasters into one in python using Rioxarray. Merging/mosaic multiple rasters into one is also known as union of rasters. Rioxarray is open source gis package that extends the functionality of xarray by rasterio. Before merging multiple rasters

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Creating GeoDataFrame from DataFrame with coordinates or wkt

Leave a Comment / GeoPandas, GIS, Python /

The usage of Python in GeoSpatial field has exponentially grown. Almost every GIS desktop software provide python integration. QGIS, famous open source GIS software, has python interface. Python has many open source GIS libraries for example GDAL, Fiona, GeoPandas, RasterIO, Shapely, Xarray Spatial etc. These libraries can process both raster as well as vector data.

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Upsample and Downsample raster in python using rioxarray

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Raster resampling refers to altering the raster resolution by changing raster grid. Upsampling refers to reducing pixel size and increasing resolution. And downsampling refers to increasing pixel size and reducing resolution. The raster resampling or upscaling/downscaling is done when you want to convert 10 meter cell to 50 meter cell or vice versa. Even when

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Clip raster by polygon geometry in Python using Rioxarray

Leave a Comment / GIS, Python, Rioxarray, Shapely /

Clip/crop raster by polygon geometry in Python using Rioxarray Raster clipping is one of the common task in raster processing. In this tutorial, we will clip a raster by polygon geometry in python using Rioxarray. Rioxarray is open source gis package that extends the functionality of xarray by rasterio. Before cropping/clipping the raster data, we

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