Application Utility – Reading geospatial raster files using GDAL OpenCV v4.8.0

Previous tutorial: Adding a track bar to our application Next tutorial: Video input using OpenCV and similarity measurement Original author Marvin Smith Compatibility OpenCV >= 3.0 Geospatial raster data is a product heavily used in geographic information systems and photogrammetry. Raster data can often represent images and digital elevation models (DEMs). The standard library for […]

In-depth exploration of geospatial query: how to elegantly implement accurate geographic data storage and retrieval techniques in MySQL, PostgreSQL and Redis

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Leveraging geospatial data in Python with GeoPandas

The true potential of spatial data lies in its ability to connect data points and their respective locations, creating endless possibilities for advanced analytics. Geospatial data science is an emerging field in data science that aims to leverage geospatial information and extract valuable insights through spatial algorithms and advanced techniques such as machine learning or […]

Leveraging geospatial data in Python with GeoPandas

Recommended Use NSDT editor quickly builds 3D application scenes The true potential of spatial data lies in its ability to connect data points and their respective locations, creating endless possibilities for advanced analytics. Geospatial data science is an emerging field in data science that aims to leverage geospatial information and extract valuable insights through spatial […]

5 Python Packages for Geospatial Data Analysis

Introduction Geospatial data analysis is critical in industries such as urban planning, environmental studies, agriculture, and transportation. The growing demand has led to an increase in the use of Python packages for various geographic data analysis requirements, such as analyzing climate patterns, studying urban development, or tracking the spread of diseases. Evaluating and selecting the […]

Coordinate Transformations – Read and convert coordinate systems of geospatial tables using GeoTools (SQLServer, PostgreSQL)

Foreword: When importing spatial data into the database through GIS software in business, due to different data sources and software settings, the spatial table coordinate systems that may be imported into the database are various. If you want to publish the database space table to GeoServer and unify the coordinate system, you just simply set […]

3 special data structures of Redis (3)-Geospatial

Geospatial geographic space, Redis added geospatial and index radius query functions in version 3.2, mainly used in applications that require geographic location. Add the specified geospatial location (longitude, latitude, name) to the specified key, and these data will store in the sorted set. Longitude: longitude, effective return [-180,180], positive indicates east longitude, negative indicates west […]

A guide to Python-based geospatial mapping (using the gma spatial mapping function as an example)

Introduction to 1 gma gma is a Python-based package for fast processing and data analysis of geographic and meteorological data (Geographic and Meteorological Analysis, gma). gma website: Geographic and Meteorological Analysis Library. What are the main functions of gma? Climatology (e.g. SPEI, SPI, ET0, etc.). Remote sensing indices (eg NDVI, EVI, TVDI, etc.). Mathematical operations […]