Do you want to learn how to create Voronoi polygons in @qgis ? You have a dataset of cellular towers locations in a city, and you want to create Voronoi polygons to visualize the coverage areas of each tower.Follow this step-by-step guide. #gischat 1- Prepare your data:

Import your cellular towers locations dataset as a point layer in QGIS.

Make sure your point layer has a unique identifier for each tower.

Compressed image formats are a great way to reduce file size without sacrificing image quality. There are several compressed image formats that are commonly used in GIS (Geographic Information System) applications. #gischat #geospatial #gis ECW (Enhanced Compression Wavelet) is a proprietary compressed image format developed by ERDAS. It's commonly used for compressing large raster images, such as satellite imagery and aerial photography. ECW files can be handled by software ArcGIS, Global Mapper, and ERDAS Imagine.

Here is a more comprehensive list of plugins for land use and land cover (LULC) analysis in QGIS. The selection of plugins depends on the specific research question and the type of data available. #gischat #geospatial #GIS #LULCanalysis #QGIS Semi-Automatic Classification Plugin (SCP): This plugin provides a user-friendly interface for supervised and unsupervised classification of remote sensing images. It includes a wide range of classification algorithms.#gischat #geospatial #GIS #LULCanalysis #QGIS

Remote sensing (RS) software tools can help you analyze and interpret satellite or airborne data. If you're on a tight budget, don't worry - there are plenty of great free options out there!#gischat #geospatial #QGIS is a powerful and user-friendly open-source #GIS software that includes RS tools. You can use it to visualize, analyze, and process your RS data. It supports a wide range of file formats and has an active community.#gischat #geospatial
qgis.org/en/site/foruse…

Machine Learning (ML) algorithms have revolutionized spatial analysis, providing new insights into geographic data. Here's a list of popular ML algorithms used in #geospatial #DataScience
#DataScience #MachineLearning #SpatialAnalysis #gischat K-means clustering is a popular unsupervised ML algorithm used for clustering and segmentation of spatial data. It's used to identify spatial patterns, group similar geographic features, and create thematic maps.