R for Geospatial Predictive Mapping: Takeaways from the Talk
Summary of a talk on using R for geospatial predictive mapping, covering methods like Kriging and Random Forests, and tools for evaluating prediction reliability.
Summary of a talk on using R for geospatial predictive mapping, covering methods like Kriging and Random Forests, and tools for evaluating prediction reliability.
A technical walkthrough of converting the US Wind Turbine Database to Parquet format and analyzing it using tools like GDAL, DuckDB, and QGIS.
A technical exploration of the ICMM's global mining dataset, detailing the setup, tools, and process for data analysis using Python, DuckDB, and QGIS.
Exploring the Layercake project's analysis-ready OpenStreetMap data in Parquet format, including setup and performance on a high-end workstation.
A review of Building Regulariser, a Python package that improves AI-generated building footprints from satellite imagery by making outlines more regular and plausible.
A technical guide on downloading and analyzing Canada's National Address Register (15.8M addresses) using Python, DuckDB, and QGIS to create settlement centroids.
A technical tutorial on using R and the sf package to adjust map boundaries, specifically addressing the Crimea region's political representation in geographic data.
Explores using WebP compression to reduce filesize of high-resolution satellite imagery from Planet Labs' SkySat constellation.
OpenStreetMap now hosts vector tiles, enabling dynamic styling and sharper maps. This article explores how to visualize and analyze the new format.
A technical guide to methods for comparing spatial patterns in raster data, focusing on analysis using R for both continuous and categorical data.
A technical analysis using R and the DHBins package to visualize New Zealand's National Land Transport Plan expenditure data via hexmaps.
Analyzing the Global Streetscapes dataset, a massive collection of AI-labeled street view imagery, using Python, DuckDB, and a high-performance workstation.
A technical analysis of Maxar's high-resolution global satellite imagery basemap, examining 60GB of data across 11 cities using GDAL, Python, and DuckDB.
A technical analysis of aircraft flight routes using ADS-B telemetry data, Python, and GIS tools, focusing on a specific AirBaltic Airbus A220-300.
A technical guide on creating a custom Tokyo walking tour map using GIS tools, QGIS, Python, and OpenStreetMap data.
A software developer announces joining CARTO, a geospatial analysis and data science platform, to work on applications and open-source libraries.
A technical guide on accessing, downloading, and analyzing Maxar's freely available satellite imagery from their Open Data Programme using tools like GDAL, Python, and DuckDB.
A technical review of the Clickgis extension, which adds WKB and GeoJSON geospatial support to the ClickHouse database.
A tutorial on fixing overplotted points on maps by creating filled density gradients using R, ggplot2, and the sf package for geographic data.
A technical tutorial on using R and OpenStreetMap to create custom, data-driven maps for planning and visualizing a complex road trip route.