Introducing SedonaDB: A single-node analytical database engine with geospatial as a first-class citizen - Apache Sedona
Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.
Basemapkit: Basemaps for Maplibre:
#Basemapkit is a new open-source library by Jonathan Lurie that provides customizable basemap styles for use with
#Maplibre GL JS and
#Protomaps #OSM #pmtiles. Its core style, avenue, is designed as a practical “one-size-fits-all” basemap, with...
https://spatialists.ch/posts/2025/09/12-basemapkit-basemaps-for-maplibre/ #GIS #GISchat #geospatial #SwissGIS
Basemapkit: Basemaps for Maplibre – Spatialists – geospatial news
#Basemapkit is a new open-source library by Jonathan Lurie that provides customizable basemap styles for use with #Maplibre GL JS and #Protomaps #OSM #pmtiles. Its core style, avenue, is designed as a practical “one-size-fits-all” basemap, with optional relief shading for flexible cartographic use.
Spatial resolution?: “Spatial resolution” is one of the most often misunderstood terms in
#EarthObservation and
#geospatial. A Planet Stories article demystifies the underlying technical concepts such as Ground Sampling Distance, Ground Resolved Distance, and more, and...
https://spatialists.ch/posts/2025/09/14-spatial-resolution/ #GIS #GISchat #geospatial #SwissGIS
Spatial resolution? – Spatialists – geospatial news
“Spatial resolution” is one of the most often misunderstood terms in #EarthObservation and #geospatial. A Planet Stories article demystifies the underlying technical concepts such as Ground Sampling Distance, Ground Resolved Distance, and more, and shows how careful analysis is essential for accurately assessing image quality and separability of features.
Improved Swiss Base Map: The “
#BaseMap” from Switzerland’s NMGA
#swisstopo is an award-winning interactive cartographic product that integrates data from multiple partners and was recognized with the 2025
#ICA #MapAward. An article by Swisstopo explains how the map was...
https://spatialists.ch/posts/2025/09/24-improved-swiss-base-map/ #GIS #GISchat #geospatial #SwissGIS
Improved Swiss Base Map – Spatialists – geospatial news
The “#BaseMap” from Switzerland’s NMGA #swisstopo is an award-winning interactive cartographic product that integrates data from multiple partners and was recognized with the 2025 #ICA #MapAward. An article by Swisstopo explains how the map was refined through user-feedback and iterative design enhancing mobile #usability and readability.
SedonaDB: Bringing Geospatial Data to the Core of Analytical Databases - DropletDrift
Contents show Architecture and Design Choices Performance in Context Practical Example Strengths and Limitations Implications and Future Directions Geospatial data is now woven into nearly every modern application, from navigation and logistics to urban planning and climate modeling. Yet most analytical databases treat location as an optional add-on, bolted in through extensions or external libraries. […]
Introducing SedonaDB: A single-node analytical database engine with geospatial as a first-class citizen - Apache Sedona
Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.
Introducing SedonaDB: A single-node analytical database engine with geospatial as a first-class citizen - Apache Sedona
Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.
Introducing SedonaDB: A single-node analytical database engine with geospatial as a first-class citizen - Apache Sedona
Apache Sedona is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark, Apache Flink, and Snowflake, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.
I didn’t set out seeking to get into the geospatial field, it sort of found me. - GeoHipster
anelle holds a Bachelor’s Degree in Geography and a Masters of Science degree in Geoinformatics.
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