Spatial Interpolation with Artificial Neural Networks (ANN) in Python Spatial interpolation is a core discipline in spatial data science, environmental modeling, and geostatistics. The objective is to estimate unknown values at unsampled locations using observations from a finite set of sample points. For decades, traditional geostatistical methods such as Ordinary Kriging (OK), Inverse Distance Weighting … Read more

Optimizing Raster Processing Performance with GDAL Multi-Threading and VRT (Virtual Raster) Files Processing a handful of GeoTIFF files is rarely a performance problem. The situation changes dramatically when a workflow involves hundreds of multi-gigabyte satellite scenes, DEM tiles, orthophotos, or other raster datasets. A conventional raster workflow may repeatedly read source tiles, create intermediate files, … Read more

Integrating GPS Telemetry Data with Open-Source GIS for Wildlife Tracking and Home Range Analysis Modern wildlife conservation and spatial ecology rely heavily on high-resolution GPS satellite telemetry. Traditional VHF radio-tracking methods—while foundational—have largely been superseded by collars equipped with GPS, Iridium, Argos, or cellular data transmission. These advanced devices log thousands of precise coordinate locations … Read more

Estimating Building Energy Consumption Using 3D City Models (CityGML) in QGIS Introduction Urban energy planning increasingly relies on three-dimensional representations of buildings rather than conventional two-dimensional maps. With the development of urban digital twins, planners can combine building geometry, construction characteristics, meteorological observations, and energy data to investigate how buildings perform within their surrounding environment. … Read more

Automated Cartographic Generalization in QGIS: Simplifying Complex Vector Boundaries Cartographic design at reduced scales presents a persistent technical challenge: balancing geometric fidelity with visual legibility. When high-resolution vector data—such as sub-meter cadastral boundaries, intricate administrative districts, or detailed natural coastlines digitized at 1:1,000 scale—are rendered on small-scale regional, national, or global maps (e.g., 1:1,000,000), the … Read more

Setting Up an OGC-Compliant Metadata Catalog with PyCSW Introduction A Spatial Data Infrastructure (SDI) is more than a collection of spatial databases and web maps. It also needs a reliable way for people and applications to discover what datasets exist, understand their characteristics, evaluate their quality, and locate the resources required to access them. Without … Read more

Analyzing Urban Healthcare Deserts: Measuring Spatial Mismatch and Accessibility Gaps Introduction to Analyzing Urban Healthcare Deserts: Measuring Spatial Mismatch and Accessibility Gaps A hospital can be geographically close to a neighborhood without being practically accessible to its residents. A clinic may be located two kilometers away, yet reaching it could require multiple public transport transfers, … Read more