Nigeria Advances with Visionary Smart Cities and Geospatial Tech #WestAfrica #advances #Cities #Geospatial #Nigeria #Smart #Tech #Visionary
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Near Me widget for #spatial #analysis in #ArcGIS Experience Builder https://tinyurl.com/vr6wfv5s
#location #intelligence #GIS #esri #mapping #GISchat #geospatial #ArcGISApps #mapstodon @esri @esrifederalgovt @esrislgov @arcgisapps @esritraining @urisa
If you create, or are curious about, #VectorTiles, you may have come across the command line utility #Tippecanoe (TIP-ə-kə-NOO). It’s probably no secret that its usage is not entirely trivial, but there is a helpful tool for this now. https://spatialists.ch/posts/2025/04-04-tool-tip-tippecanoe-command-generator/ #GIS #GISchat #geospatial #SwissGIS
spatialists.ch – geospatial newsTool tip: Tippecanoe Command Generator – spatialists.ch – geospatial news
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Spatialists
If you are looking for fresh reads on GIS, geospatial technologies and research, cartography, maps, and more, this list of the 𝟭𝟬𝟬 𝗯𝗲𝘀𝘁 𝗚𝗜𝗦 𝗯𝗹𝗼𝗴𝘀 𝟮𝟬𝟮𝟱 is a great starting point: https://bloggers.feedspot.com/gis_blogs/
We are proud to see our own GIScience blog near the top of the ranking: https://giscienceblog.uni-heidelberg.de/
US-Disaster: Die Zollkarte / Tariffs Map https://geoobserver.de/2025/04/04/us-disaster-die-zollkarte/ #Tariffs #Map #gistribe #gischat #fossgis #foss4g #OSGeo #spatial #geospatial #gis #geo #geoObserver pls RT via @mapadenoticias
Join us at the #GRASSDevSummit2025 at NC State! 
Connect with fellow developers, share your skills, and help shape the future of #GRASS as a top geoprocessing engine. Dive into strategic planning and discover ways to expand our community's contributions. It's your chance to learn and contribute to long-term innovation in geoprocessing! 
Can't make it? You can still support us by sponsoring the event for just $20! 
GIS-Wissen: Resampling / GIS knowledge: Resampling https://geoobserver.de/2025/04/03/gis-wissen-resampling/ #resampling #gistribe #gischat #fossgis #foss4g #OSGeo #spatial #geospatial #gis #geo #geoObserver pls RT
Last week, we hosted "Advances in Spatial Machine Learning 2025", a two-day workshop tackling open challenges in the field.
From validation to uncertainty analysis, we explored key topics with top researchers.
Now, we're working on synthesizing outcomes—stay tuned!
Finally a new #Shapely feature release! 
Shapely 2.1.0 highlights include initial support for geometries with M or ZM values, functionality for coverage validation and simplification, and a set of other new top-level functions.
For a full overview, see https://shapely.readthedocs.io/en/latest/release/2.x.html#version-2-1-0
Faces Behind the Data, Anna He and the Harvard #Geospatial Library
https://mapping.share.library.harvard.edu/posts/faces-behind-the-data-anna-he/
mapping.share.library.harvard.edu · Faces Behind the Data, Anna He and the Harvard Geospatial Library
Get to know the newest member of the Harvard Map Collection, Anna He, in a discussion about the future of the Harvard Geospatial Library.
#Geospatial analysis of cholera outbreak in Lusaka, Zambia, between 2023 and 2024
https://tropmedhealth.biomedcentral.com/articles/10.1186/s41182-025-00718-4
BioMed CentralGeospatial analysis of cholera outbreak in Lusaka, Zambia, between 2023 and 2024 - Tropical Medicine and HealthBackground Cholera outbreaks have plagued Zambia for decades, with Lusaka district, the capital, being particularly vulnerable. Although the lack of sanitary toilet facilities and inadequate drainage systems were shown to be associated with the high cholera incidence in the early 2000s, it is unknown whether these environmental risk factors persisted in the outbreak that occurred in 2023–2024, which turned out to be the largest outbreak in the country’s history. We investigated the geospatial patterns of cholera cases and associated environmental factors during the October 2023 to March 2024 cholera outbreak. Methods We conducted a geospatial analysis of the suspected cholera cases in Lusaka district, comprising seven constituencies and 94 townships. Patient information and geocoordinates were collected from suspected cases using electronic surveillance tools. The space–time scan statistics was performed to detect spatial and temporal clusters of cases. Spearman's rank correlation coefficient, were employed to examine the relationship between cholera incidence and various environmental factors, including access to Water, Sanitation, and Hygiene (WASH) facilities and equipment. Results Over the study period, 4,591 suspected cholera cases with geocoordinate data were identified, with incidence rates varying across the constituencies. Median cholera incidence (IQR) was 0.55 (0.27–1.44) in Lusaka, with higher incidence rates observed in unplanned residential areas. After the first case identification in Kanyama, cases and clusters were observed in different parts of Lusaka. Among 94 townships in Lusaka, cholera-suspected cases were identified in 86 of them. Among environmental factors analyzed for associations with the high cholera incidence, the proportion of individuals without soap and detergent at home (ρ = 0.457, p < 0.001) and those without water for hand washing at home (ρ = 0.421, p < 0.001) were significantly associated with increased cholera incidence. Conclusion The findings underscore the significance of environmental factors in cholera transmission, particularly in unplanned residential areas with inadequate access to WASH facilities which persist in the area. Improving WASH infrastructure and implementing tailored public health strategies, particularly for high-risk areas (e.g., unplanned residential areas), are crucial for mitigating cholera outbreaks in Lusaka District.
In the field of #RemoteSensing, precision and reliability are critical for capturing and analyzing data that drives decision-making across a wide range of industries. Optical filters are tailored to meet the unique requirements of many applications, such as #geospatial #mapping, #hyperspectral imaging, #environmental monitoring, #agricultural health, #weather and #cloud monitoring, #LiDAR and 3D #earth mapping. Learn more: https://ilphotonics.com/optical-filters-for-remote-sensing-applications/
IL Photonics · Optical Filters for Remote Sensing Applications | IL PhotonicsChroma Technology designs and manufactures optical filters tailored to meet the unique requirements of remote sensing applications.
First day of the #stapi sprint at #developmentseed was fueled by lots of interesting discussions on issues like intersections with #stac and #ogcapi . Looking forward to more, tomorrow! #standards #geospatial #eo
Open SAR data: Synthetic Aperture Radar (#SAR) is an interesting #remotesensing technology that captures high-resolution data of the Earth’s surface, regardless of weather or lighting conditions. This curated collection of open SAR data sources provides an...
https://spatialists.ch/posts/2025/04-01-open-sar-data/ #GIS #GISchat #geospatial #SwissGIS
spatialists.ch – geospatial newsOpen SAR data – spatialists.ch – geospatial news
More from Spatialists
In 1 week, @esri webinar: Enhance Your #Business Decisions with #ArcGIS for #Microsoft https://tinyurl.com/4ff7crha
#location #spatial #intelligence #geospatial #GIS #esri #mapping #GISchat #ArcGISApps #mapstodon @esrifederalgovt @esrislgov @esritraining @arcgisapps @urisa @msftnews
Just stumbled upon this list of awesome #geospatial companies!
A list of 700+ geospatial companies & interactive map. For finding geospatial jobs, customers and understanding the geospatial industry!
The largest competitor to proprietary #GIS is open source software and tools – #FOSSGIS infrastructure is now at a level where municipalities and companies shift away from proprietary solutions. Would anyone happen to have any material (case studies etc.) on this topic to prove this point?
#QGIS #Esri #Geospatial