Geobble changelog

https://geobble.com/llms.txt

− - [Earthquakes & Volcanoes](https://geobble.com/atlas/maps/earthquakes-volcanoes): Recent significant earthquakes and global volcanoes, with graduated symbols, date and magnitude context, and useful popups.− - [Germany Laender Population and Accessibility Map 2026](https://geobble.com/geobble/maps/germany-laender-population-2026): Explore an interactive map on Geobble.− - [Global Aviation](https://geobble.com/atlas/maps/global-aviation): Explore an interactive map on Geobble.− - [Population by Country, 2026](https://geobble.com/atlas/maps/population-by-country-2026): Country population estimates for 2026 using canonical Geobble country geometry enriched with the UN World Population Prospects 2024 medium projection.− - [Cameroon Administrative Boundaries](https://geobble.com/atlas/maps/cameroon-administrative-boundaries): Cameroon administrative levels ADM1, ADM2, and ADM3 with progressive rendering, hierarchy labels, and unit selection.− - [Global Aviation](https://geobble.com/atlas/maps/global-aviation): Airports and runways worldwide, with layered symbols, filtering, labels, and detailed facility popups.− - [Earthquakes & Volcanoes](https://geobble.com/atlas/maps/earthquakes-volcanoes): Explore an interactive map on Geobble.− - [Logistics Site Selection in Germany](https://geobble.com/atlas/maps/logistics-site-selection-germany): Explore an interactive map on Geobble.− - [Population by Country, 2026](https://geobble.com/atlas/maps/population-by-country-2026): Explore an interactive map on Geobble.− - [Aviation and Runways](https://geobble.com/atlas/maps/aviation-and-runways): Explore an interactive map on Geobble.− - [Major-City Access Across Five Countries](https://geobble.com/atlas/maps/major-city-access-five-countries): Explore an interactive map on Geobble.− - [Major-City Access Across Six Countries](https://geobble.com/atlas/maps/major-city-access-six-countries): A consistent comparison of access within 150 km of major cities across Russia, Japan, Brazil, Cameroon, Australia, and the United States.− - [Global Atlas Reference](https://geobble.com/atlas/maps/global-atlas-reference): Explore an interactive map on Geobble.− - [Geobble Launch Sampler](https://geobble.com/atlas/maps/geobble-launch-sampler): Explore an interactive map on Geobble.− - [Cameroon Administrative Boundaries](https://geobble.com/atlas/maps/cameroon-administrative-boundaries): Explore an interactive map on Geobble.− - [USA Administrative Atlas](https://geobble.com/atlas/maps/usa-administrative-atlas): Explore an interactive map on Geobble.− - [Natural Hazards Monitor](https://geobble.com/atlas/maps/natural-hazards-monitor): Explore an interactive map on Geobble.− - [France and Germany Administrative Regions](https://geobble.com/atlas/maps/france-germany-administrative-regions): Explore an interactive map on Geobble.− - [Germany Laenders Population Analysis 2026](https://geobble.com/atlas/maps/logistics-site-selection-germany): Population and proximity analysis for Germany's Länder, major cities, and airports.− - [Cameroon’s Forest-Use Mosaic](https://geobble.com/atlas/maps/cameroon-forest-use-mosaic): An illustrative map of forest management units, communal forests, community forests, and timber-sale areas across Cameroon, with regional boundaries for geographic context.− - [HydroBASINS Level 6 Catchments — Southern Africa](https://geobble.com/atlas/sources/hydrobasins-level-6-southern-africa): HydroBASINS level-6 catchments intersecting countries in UN M49 Southern Africa.− - [HydroLAKES v1 Lake Polygons — Middle Africa](https://geobble.com/atlas/sources/hydrolakes-v1-middle-africa): HydroLAKES v1 lake polygons intersecting countries in UN M49 Middle Africa.− - [HydroBASINS Level 6 Catchments — Western Africa](https://geobble.com/atlas/sources/hydrobasins-level-6-western-africa): HydroBASINS level-6 catchments intersecting countries in UN M49 Western Africa.− - [USGS MRDS Mineral Sites — Southern Africa](https://geobble.com/atlas/sources/usgs-mrds-southern-africa): Mineral-resource occurrence and deposit points from USGS MRDS selected to UN M49 Southern Africa.− - [WPdx Water Points — Southern Africa](https://geobble.com/atlas/sources/wpdx-water-points-southern-africa): Basic water-point records from WPdx for countries in UN M49 Southern Africa.− - [HydroRIVERS v1 River Network — Middle Africa](https://geobble.com/atlas/sources/hydrorivers-v1-middle-africa): HydroRIVERS v1 river reaches intersecting countries in UN M49 Middle Africa.− - [HydroRIVERS v1 River Network — Western Africa](https://geobble.com/atlas/sources/hydrorivers-v1-western-africa): HydroRIVERS v1 river reaches intersecting countries in UN M49 Western Africa.− - [HydroBASINS Level 6 Catchments — Middle Africa](https://geobble.com/atlas/sources/hydrobasins-level-6-middle-africa): HydroBASINS level-6 catchments intersecting countries in UN M49 Middle Africa.− - [USGS MRDS Mineral Sites — Middle Africa](https://geobble.com/atlas/sources/usgs-mrds-middle-africa): Mineral-resource occurrence and deposit points from USGS MRDS selected to UN M49 Middle Africa.− - [HydroRIVERS v1 River Network — Northern Africa](https://geobble.com/atlas/sources/hydrorivers-v1-northern-africa): HydroRIVERS v1 river reaches intersecting countries in UN M49 Northern Africa.− - [HydroRIVERS v1 River Network — Eastern Africa](https://geobble.com/atlas/sources/hydrorivers-v1-eastern-africa): HydroRIVERS v1 river reaches intersecting countries in UN M49 Eastern Africa.− - [WPdx Water Points — Middle Africa](https://geobble.com/atlas/sources/wpdx-water-points-middle-africa): Basic water-point records from WPdx for countries in UN M49 Middle Africa.− - [HydroLAKES v1 Lake Polygons — Western Africa](https://geobble.com/atlas/sources/hydrolakes-v1-western-africa): HydroLAKES v1 lake polygons intersecting countries in UN M49 Western Africa.− - [HydroLAKES v1 Lake Polygons — Northern Africa](https://geobble.com/atlas/sources/hydrolakes-v1-northern-africa): HydroLAKES v1 lake polygons intersecting countries in UN M49 Northern Africa.− - [WPdx Water Points — Eastern Africa](https://geobble.com/atlas/sources/wpdx-water-points-eastern-africa): Basic water-point records from WPdx for countries in UN M49 Eastern Africa.− - [Southern Africa Natural Resources — Vector Data](https://geobble.com/atlas/collections/southern-africa-natural-resources-vector-data): Curated regional vector datasets for minerals and freshwater resources across UN M49 Southern Africa.− - [Eastern Africa Natural Resources — Vector Data](https://geobble.com/atlas/collections/eastern-africa-natural-resources-vector-data): Curated regional vector datasets for minerals and freshwater resources across UN M49 Eastern Africa.− - [Middle Africa Natural Resources — Vector Data](https://geobble.com/atlas/collections/middle-africa-natural-resources-vector-data): Curated regional vector datasets for minerals and freshwater resources across UN M49 Middle Africa.− - [Western Africa Natural Resources — Vector Data](https://geobble.com/atlas/collections/western-africa-natural-resources-vector-data): Curated regional vector datasets for minerals and freshwater resources across UN M49 Western Africa.− - [EAC Partner States — Natural Resources Vector Data](https://geobble.com/atlas/collections/east-africa-natural-resources-vector-data): Regional vector datasets for the East African Community partner states. This is an EAC political grouping, not the UN M49 Eastern Africa subregion.+ - [World Hospitals (2026)](https://geobble.com/atlas/maps/world-hospitals): 22,151 hospitals across 242 countries from Wikidata via QLever — the collection's first global health layer.+ - [World Weather Stations (2026)](https://geobble.com/atlas/maps/world-weather-stations): 13,442 active weather stations across 265 country codes from NOAA's Integrated Surface Database — the ground observing network behind weather forecasts and climate records.+ - [World Observatories (2026)](https://geobble.com/atlas/maps/world-observatories): 356 astronomical observatories across 55 countries from Wikidata via QLever — professional sites, mountain-top telescopes and historic instruments.+ - [World Breweries and Wineries (2026)](https://geobble.com/atlas/maps/world-breweries-wineries): 2,275 breweries and wineries across 73 countries from Wikidata via QLever — 1,190 breweries and 1,085 wineries, styled by kind.+ - [World Zoos and Botanical Gardens (2026)](https://geobble.com/atlas/maps/world-zoos-gardens): 4,138 zoos and botanical gardens across 163 countries from Wikidata via QLever — 1,778 zoos and 2,360 gardens, styled by kind.+ - [World National Parks (2026)](https://geobble.com/atlas/maps/world-national-parks): 2,385 national parks across 167 countries from Wikidata via QLever — a partial, open answer to the protected-areas question.+ - [World Castles (2026)](https://geobble.com/atlas/maps/world-castles): 20,612 castles and fortresses across 111 countries from Wikidata via QLever — from Norman keeps to Japanese hill forts.+ - [World Ski Resorts (2026)](https://geobble.com/atlas/maps/world-ski-resorts): 1,332 ski resorts across 62 countries from Wikidata via QLever — where lift-served snowsports infrastructure exists.+ - [World Libraries (2026)](https://geobble.com/atlas/maps/world-libraries): 8,773 libraries across 153 countries from Wikidata via QLever — completing a cultural-infrastructure trio with heritage sites and universities.+ - [World Museums (2026)](https://geobble.com/atlas/maps/world-museums): 28,857 museums across 270 countries from Wikidata via QLever — art, history, science and house museums in four layers.+ - [World Dams (2026)](https://geobble.com/atlas/maps/world-dams): 74,591 dams across 179 countries — the world's largest open geocoded dam inventory, from Wikidata via QLever.+ - [West Virginia Bridges (2026)](https://geobble.com/usa/maps/west-virginia-bridges): All 7,323 inventoried bridges in West Virginia with FHWA condition ratings — 1,727 good, 4,154 fair, 1,442 poor.+ - [California Bridges (2026)](https://geobble.com/usa/maps/california-bridges): All 25,815 inventoried bridges in California with FHWA condition ratings — 11,904 good, 12,320 fair, 1,591 poor.+ - [Global Airports (2026)](https://geobble.com/atlas/maps/global-airports-2026): 49,351 airports in 239 countries from OurAirports — 1,175 large, 4,105 medium, 42,798 small and 1,273 seaplane bases, with 4,225 offering scheduled service.+ - [Wisconsin Bridges (2026)](https://geobble.com/usa/maps/wisconsin-bridges): All 14,393 inventoried bridges in Wisconsin with FHWA condition ratings — 7,344 good, 6,106 fair, 943 poor.+ - [Kentucky Bridges (2026)](https://geobble.com/usa/maps/kentucky-bridges): All 14,483 inventoried bridges in Kentucky with FHWA condition ratings — 3,758 good, 9,716 fair, 1,009 poor.+ - [Texas Bridges (2026)](https://geobble.com/usa/maps/texas-bridges): All 56,313 inventoried bridges in Texas with FHWA condition ratings — 28,772 good, 26,833 fair, 708 poor.+ - [Kansas Bridges (2026)](https://geobble.com/usa/maps/kansas-bridges): All 24,907 inventoried bridges in Kansas with FHWA condition ratings — 13,171 good, 10,431 fair, 1,305 poor.+ - [Global Cities (2026)](https://geobble.com/atlas/maps/global-cities): 34,191 cities of 15,000+ people across 244 countries, shaded by population, from GeoNames.+ - [Illinois Bridges (2026)](https://geobble.com/usa/maps/illinois-bridges): All 26859 inventoried bridges in Illinois with FHWA condition ratings — 12477 good, 11910 fair, 2472 poor.+ - [District of Columbia Bridges (2026)](https://geobble.com/geobble/sources/district-of-columbia-bridges-2026): District of Columbia bridges with FHWA condition ratings — 247 bridges.+ - [World Heritage Sites (2026)](https://geobble.com/geobble/sources/world-heritage-sites-2026): UNESCO World Heritage Sites with coordinates, via Wikidata — 1,370 inscribed properties.+ - [US Public Elementary Schools (2026) — part 2](https://geobble.com/geobble/sources/us-elementary-schools-2026-part2): Open US public elementary schools from the NCES CCD directory — part 2 of 6.+ - [US Public Elementary Schools (2026) — part 1](https://geobble.com/geobble/sources/us-elementary-schools-2026-part1): Open US public elementary schools from the NCES CCD directory — part 1 of 6.+ - [Significant Earthquakes, Past 30 Days](https://geobble.com/atlas/sources/significant-earthquakes-past-30-days): USGS magnitude 4.5+ earthquake events from the past 30 days, staged as a 2026-05-25 snapshot for magnitude styling and event popups. Source: USGS GeoJSON feed.+ - [Local Forests](https://geobble.com/per/sources/local-forests): Official SERFOR polygons for local forests (Bosques Locales) in Peru.+ - [HydroRIVERS v1 — Kenya River Network](https://geobble.com/atlas/sources/hydrorivers-v1-kenya): HydroRIVERS v1 river reaches clipped to Kenya’s national boundary, with network and hydrological attributes from the continental Africa product.+ - [USGS MRDS — Other EAC Partner States Mineral Sites](https://geobble.com/atlas/sources/usgs-mrds-other-eac-partner-states): Documented mineral deposits, mines, prospects, and occurrences across Burundi, DR Congo, Rwanda, Somalia, South Sudan, Tanzania, and Uganda.+ - [HydroBASINS Level 6 — Other EAC Partner States Catchments](https://geobble.com/atlas/sources/hydrobasins-level-6-other-eac-partner-states): Complete HydroBASINS Level 6 catchments intersecting Burundi, DR Congo, Rwanda, Somalia, South Sudan, Tanzania, and Uganda, including transboundary context.+ - [WPdx Basic — Other EAC Partner States Water Points](https://geobble.com/atlas/sources/wpdx-basic-other-eac-partner-states): Location-validated rural water-point records for DR Congo, Rwanda, Somalia, South Sudan, Tanzania, and Uganda; WPdx currently contains no Burundi records.+ - [Lemur Portal Observations](https://geobble.com/mdg/sources/lemur-portal-observations): Biodiversity observation points from the Madagascar Forest Atlas Lemurs Portal layer.+ - [Deforested Zones 2024 — Centroids](https://geobble.com/col/sources/deforested-zones-2024-centroids): Centroids supplied by IDEAM for all official 2024 deforested-zone records in Colombia.+ - [HydroBASINS Level 6 — Kenya and Transboundary Catchments](https://geobble.com/atlas/sources/hydrobasins-level-6-intersecting-kenya): HydroBASINS level-6 catchment polygons that intersect Kenya, retaining complete basin geometries to preserve transboundary hydrological context.+ - [ESA WorldCover 2021 — Kenya (111 m Generalized)](https://geobble.com/atlas/sources/esa-worldcover-2021-kenya-111m): National-scale categorical land-cover display raster for the Kenya extent, generalized by modal resampling from the 10 m ESA WorldCover 2021 v200 product to 0.001 degrees (approximately 111 m).+ - [Hansen Global Forest Change — Kenya Tree-Cover Loss Year 2001–2025 (111 m)](https://geobble.com/atlas/sources/hansen-global-forest-change-loss-year-kenya-2001-2025-111m): Generalized display raster encoding annual tree-cover loss year from 1–25 for 2001–2025, with a temporal color palette, across the Kenya extent at 0.001 degrees.+ - [Natural Hazards](https://geobble.com/atlas/collections/natural-hazards): Recent earthquakes and volcano locations for interactive hazard and geology maps.+ - [World Reference Data](https://geobble.com/atlas/collections/world-reference-data): Reusable global reference geometry for boundaries, settlements, hydrography, and coastlines, curated for mapping, spatial joins, and Data Work enrichment.+ - [Country Case Studies](https://geobble.com/atlas/collections/country-case-studies): Country-level administrative boundary sets for reusable national and subnational mapping, spatial joins, and Data Work enrichment.+ - [Transport And Connectivity](https://geobble.com/atlas/collections/transport-and-connectivity): Reusable global transport geometry and infrastructure snapshots for airports, runways, ports, connectivity maps, joins, and Data Work enrichment.+ - [Données régionales OFAC](https://geobble.com/ofac/collections/donnees-regionales): Jeux de données régionaux publiés ou harmonisés par l’OFAC pour l’espace COMIFAC. La provenance détaillée et les limites de réutilisation sont conservées au niveau de chaque source.

Showing the first 40 of each.

• + search_view
• + resource_view
• + map_view
• + profile
• + account_list
• + capabilities
• + search
• + get
• + map_get
• + project_create
• + project_update_settings
• + project_explore_collection
• + project_inspect_source
• + project_validate_map
• + project_view_history_state
• + project_list_basemaps
• + project_resolve_places
• + project_create_theme
• + project_query_database
• + project_run_spatial_operation
• + project_analyze_mobility
• + project_mobility_analysis_status
• + project_submit_dataset_request
• + project_manage_context
• + project_set_view
• + project_add_layer
• + project_remove_layers
• + project_duplicate_layer
• + project_reorder_layers
• + project_update_layer_style
• + project_set_layer_filter
• + project_update_layer_label
• + project_set_layer_visibility
• + project_set_layer_zoom_range
• + project_configure_popup
• + project_configure_search
• + project_configure_computed
• + project_configure_bubbles
• + project_configure_camera
• + project_configure_legend
• − geobble_search_view
• − geobble_resource_view
• − geobble_map_view
• − geobble_profile
• − geobble_account_list
• − geobble_capabilities
• − geobble_search
• − geobble_get
• − geobble_map_get
• − geobble_project_create
• − geobble_project_update_settings
• − geobble_project_explore_collection
• − geobble_project_inspect_source
• − geobble_project_validate_map
• − geobble_project_view_history_state
• − geobble_project_list_basemaps
• − geobble_project_resolve_places
• − geobble_project_create_theme
• − geobble_project_query_database
• − geobble_project_run_spatial_operation
• − geobble_project_analyze_mobility
• − geobble_project_mobility_analysis_status
• − geobble_project_submit_dataset_request
• − geobble_project_manage_context
• − geobble_project_set_view
• − geobble_project_add_layer
• − geobble_project_remove_layers
• − geobble_project_duplicate_layer
• − geobble_project_reorder_layers
• − geobble_project_update_layer_style
• − geobble_project_set_layer_filter
• − geobble_project_update_layer_label
• − geobble_project_set_layer_visibility
• − geobble_project_set_layer_zoom_range
• − geobble_project_configure_popup
• − geobble_project_configure_search
• − geobble_project_configure_computed
• − geobble_project_configure_bubbles
• − geobble_project_configure_camera
• − geobble_project_configure_legend

Showing the first 40 of each.

https://geobble.com/llms.txt

− - [Why AI GIS Needs a Reviewable Execution Model](https://geobble.com/journal/why-ai-gis-needs-a-reviewable-execution-model): Why AI-assisted spatial work should make its proposed actions, results, assumptions, and durable changes inspectable before they become part of the geographic record ?− - [Projects and Studio: Why Geobble Has Two Working Surfaces](https://geobble.com/journal/projects-and-studio-why-geobble-has-two-working-surfaces): Why exploring a geographic question and refining a map require different forms of attention, even when they belong to the same workflow...− - [The Hidden Bottleneck in GIS Is Often Data Preparation](https://geobble.com/journal/the-hidden-bottleneck-in-gis-is-often-data-preparation): Why spatial analysis usually begins with the slower work of making geographic information usable, traceable, and fit for purpose− - [Why Does a Dataset Contain Duplicate Features?](https://geobble.com/learn/why-does-a-dataset-contain-duplicate-features): Duplicate GIS features can be exact copies, near-duplicates, legitimate repeated observations, one-to-many join results or overlapping records from multiple sources; the correct response depends on which condition you have.− - [What Is a Cartogram?](https://geobble.com/learn/what-is-a-cartogram): A cartogram deliberately resizes or rearranges geographic units according to a variable, trading conventional geographic shape or position for a different view of importance.− - [What Is a Raster Cell?](https://geobble.com/learn/what-is-a-raster-cell): A raster cell is one element of a regular grid, located by row and column and associated with a geographic footprint and a value in each raster band.− - [What Is a UTM Zone?](https://geobble.com/learn/what-is-a-utm-zone): A UTM zone is one of sixty longitudinal projection zones used to keep Transverse Mercator distortion controlled over regional extents.− - [Why Are Some Features Missing from the Map?](https://geobble.com/learn/why-are-some-features-missing-from-the-map): When only some GIS features are missing from a map, the cause is usually a filter, null or invalid geometry, join loss, scale-dependent styling, conversion limits or source incompleteness rather than a completely empty layer.− - [What Is a Bivariate Choropleth Map?](https://geobble.com/learn/what-is-a-bivariate-choropleth-map): A bivariate choropleth combines two area-level variables in one map by assigning each area a colour representing the joint class of both values.− - [Vector vs Raster Data](https://geobble.com/learn/vector-vs-raster-data): Vector data represents discrete geographic features with coordinates and geometry, while raster data represents space as a regular grid of cells whose values describe a surface, category or measurement.− - [What Is a Geographic Transformation?](https://geobble.com/learn/what-is-a-geographic-transformation): A geographic transformation converts coordinates between geodetic datums or reference frames, sometimes using grids and time-dependent parameters.+ - [Why the Initial Map View Is an Editorial Decision](https://geobble.com/journal/why-the-initial-map-view-is-an-editorial-decision): An interactive map may allow the reader to go anywhere, but it still opens somewhere. That initial centre, zoom and set of visible layers is the first claim the publication makes.+ - [The Problem with Treating Derived Data as Original Evidence](https://geobble.com/journal/the-problem-with-treating-derived-data-as-original-evidence): Derived data often looks cleaner than its inputs. A model fills gaps, a geocoder supplies coordinates and an overlay creates exact polygon boundaries.+ - [Why Administrative Boundaries Change the Story](https://geobble.com/journal/why-administrative-boundaries-change-the-story): Administrative boundaries look stable because they are printed as lines. In practice they are decisions: where to aggregate, govern and count.+ - [Why Are Some Coordinates Negative?](https://geobble.com/learn/why-are-some-coordinates-negative): Negative geographic coordinates usually indicate a position south of the equator or west of the prime meridian, but negative x/y values can mean something different in projected or local coordinate systems.+ - [Why Are My Distance Results Clearly Wrong?](https://geobble.com/learn/why-are-my-distance-results-clearly-wrong): Clearly wrong GIS distance results usually come from incorrect units or CRS assumptions, the wrong distance model, the wrong geometry representation, or confusing geometric proximity with network travel.+ - [Per Capita vs Per Square Kilometre](https://geobble.com/learn/per-capita-vs-per-square-kilometre): Per-capita measures compare a quantity with population, while per-square-kilometre measures compare it with land area; they answer different geographic questions.+ - [Web Map vs Web GIS Application](https://geobble.com/learn/web-map-vs-web-gis-application): A web map primarily presents and explores geographic information in a browser, while a web GIS application adds broader data, analysis, editing, workflow, or decision-support capabilities around the map.+ - [Decimal Degrees vs Degrees, Minutes, and Seconds](https://geobble.com/learn/decimal-degrees-vs-degrees-minutes-and-seconds): Decimal degrees and degrees-minutes-seconds express the same angular coordinates in different notations; learn how to convert between them without losing direction or overstating precision.+ - [What Is Character Encoding in Spatial Data?](https://geobble.com/learn/what-is-character-encoding-in-spatial-data): Character encoding defines how text is represented as bytes; in spatial data, an encoding mismatch can corrupt place names, labels and identifiers while leaving the coordinates themselves untouched.+ - [Why Raw Counts Usually Should Not Be Mapped with a Choropleth](https://geobble.com/learn/why-raw-counts-usually-should-not-be-mapped-with-a-choropleth): Raw counts usually make poor choropleth values because large or highly populated areas often accumulate more events simply because they contain more opportunities for the event to occur.+ - [Static Map vs Interactive Map](https://geobble.com/learn/static-map-vs-interactive-map): A static map presents one authored view, while an interactive map lets readers change scale, inspect features, filter data, or explore several views of the same geographic information.