# Geobble > Web Mapping Made Intelligent - import geospatial data, run AI-assisted analysis, generate map symbology, refine in Studio, and publish interactive maps. ## What is Geobble? Geobble is an AI-assisted geospatial platform for turning files or PostGIS data into polished, shareable maps. Projects provide natural-language analysis and map generation, while Studio provides precise collaborative editing for symbology, labels, popups, layers, and publication-ready cartography. ## Key Capabilities - Import and manage geospatial datasets, including standard GIS files and PostGIS-backed sources - Ask spatial questions in natural language for filters, buffers, joins, proximity analysis, and map edits - Generate AI-assisted symbology, labels, legends, classifications, and scale-aware styles - Refine maps in Studio with collaborative layer, popup, label, legend, and style editing - Publish maps publicly or share privately with collaborators - Embed maps in external websites - Contour lines and elevation data via configurable remote DEM tile sources - Organize sources, maps, symbol sets, collections, Projects, and Studio workspaces ## Pages - [Home](https://geobble.com): Overview and product introduction - [Explore](https://geobble.com/explore): Discover public maps, sources, and collections - [Journal](https://geobble.com/journal): Essays, engineering writing, product perspectives, launches, and announcements - [Learn](https://geobble.com/learn): Evergreen GIS, cartography, spatial-data, and mapping knowledge - [Pricing](https://geobble.com/pricing): Plans and feature comparison - [FAQ](https://geobble.com/faq): Frequently asked questions - [Help](https://geobble.com/help): Documentation and how-to guides - [Contact](https://geobble.com/contact): Get in touch ## Popular Maps - [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. ## Popular Data Sources - [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. - [HydroBASINS Level 6 Catchments — Eastern Africa](https://geobble.com/atlas/sources/hydrobasins-level-6-eastern-africa): HydroBASINS level-6 catchments intersecting countries in UN M49 Eastern Africa. - [HydroLAKES v1 Lake Polygons — Eastern Africa](https://geobble.com/atlas/sources/hydrolakes-v1-eastern-africa): HydroLAKES v1 lake polygons intersecting countries in UN M49 Eastern Africa. - [HydroLAKES v1 Lake Polygons — Southern Africa](https://geobble.com/atlas/sources/hydrolakes-v1-southern-africa): HydroLAKES v1 lake polygons intersecting countries in UN M49 Southern Africa. - [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. - [USGS MRDS Mineral Sites — Western Africa](https://geobble.com/atlas/sources/usgs-mrds-western-africa): Mineral-resource occurrence and deposit points from USGS MRDS selected to UN M49 Western Africa. - [USGS MRDS Mineral Sites — Eastern Africa](https://geobble.com/atlas/sources/usgs-mrds-eastern-africa): Mineral-resource occurrence and deposit points from USGS MRDS selected to UN M49 Eastern Africa. - [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. ## Popular Collections - [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. - [Amazon Basin Regional Vector Layers](https://geobble.com/ora_otca/collections/amazon-basin-regional-vector-layers): A focused collection of OTCA-produced regional vector layers for the Amazon Basin. It currently includes flood-prone areas, hydrogeochemical characteristics of the river network, and navigable waterways. Aggregated third-party layers shown in the ARO atlas are intentionally excluded. - [Forest Monitoring and Management](https://geobble.com/mex/collections/forest-monitoring-management): Official forest monitoring, management, fire, health, restoration, and land-use datasets published by Mexico's National Forestry Commission (CONAFOR). - [Forest Management and Access Rights](https://geobble.com/per/collections/forest-management-access-rights): Official spatial data on forest concessions and other forest access and management modalities published through GEOSERFOR. - [Forest Management and Community Forests](https://geobble.com/cmr/collections/forest-management): Vector boundaries from the Interactive Forest Atlas of Cameroon, a joint product of Cameroon's Ministry of Forests and Wildlife (MINFOF) and the World Resources Institute (WRI). - [Kenya Natural Resources — Open Data](https://geobble.com/atlas/collections/kenya-natural-resources-open-data): Nine curated geospatial datasets for understanding Kenya’s minerals, water points, river networks, transboundary catchments, land cover, forest change, surface water, topsoil pH, and agricultural water use. ## Popular Symbol Sets - [Natural Hazards](https://geobble.com/atlas/symbol-sets/natural-hazards): Hazard symbols for volcanoes, earthquakes, alerts, ash, lava, and recent event mapping. - [Atlas Essentials](https://geobble.com/atlas/symbol-sets/atlas-essentials): Soft dimensional reference symbols for countries, regions, cities, water, and general atlas maps. - [Country Case Studies](https://geobble.com/atlas/symbol-sets/country-case-studies): Country study symbols for USA, France, Germany, administrative areas, capitals, and civic markers. - [Aviation And Transport](https://geobble.com/atlas/symbol-sets/aviation-and-transport): Aviation and connectivity symbols for airports, heliports, runways, terminals, and transport hubs. ## Journal - [The UN’s Equal Earth Resolution Is About More Than Projection Choice](https://geobble.com/journal/the-un-s-equal-earth-resolution-is-about-more-than-projection-choice): The UN’s support for equal-area world maps matters because it makes inherited cartographic defaults answerable to their purpose and consequences. - [A Map Is More Than a Picture.](https://geobble.com/journal/a-map-is-more-than-a-picture): Why digital cartography deserves a representation of its own. - [Introducing Geobble: From Geographic Data to Maps Ready to Publish](https://geobble.com/journal/introducing-geobble-from-geographic-data-to-maps-ready-to-publish): Geobble connects spatial data preparation, analysis, cartographic refinement, collaboration, and publication in one reviewable workflow. - [The Difference Between a Map That Invites Exploration and One That Supports a Decision](https://geobble.com/journal/the-difference-between-a-map-that-invites-exploration-and-one-that-supports-a-decision): Exploratory and decision-support maps can both be interactive, but they organise evidence, attention and uncertainty around different reader tasks. - [Why Dataset Versioning Is a Cartographic Concern](https://geobble.com/journal/why-dataset-versioning-is-a-cartographic-concern): Dataset versioning is usually discussed as data engineering, but it is also cartography. When a source changes, the same style and extent can show a different geography. - [Why Geographic Categories Become More Powerful When They Become Boundaries](https://geobble.com/journal/why-geographic-categories-become-more-powerful-when-they-become-boundaries): A geographic category becomes more consequential when it is drawn as a boundary because the line turns a descriptive idea into a rule about inclusion. - [Why a Beautiful Map Can Answer the Wrong Question](https://geobble.com/journal/why-a-beautiful-map-can-answer-the-wrong-question): Visual polish can improve comprehension while simultaneously making a poorly framed geographic question harder to challenge. - [Why Higher Spatial Resolution Is Not Always Better](https://geobble.com/journal/why-higher-spatial-resolution-is-not-always-better): Finer pixels reveal smaller features, but they do not automatically improve accuracy, relevance or decision quality. - [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. - [A Familiar Basemap Can Make Questionable Data Feel Trustworthy](https://geobble.com/journal/a-familiar-basemap-can-make-questionable-data-feel-trustworthy): A polished, recognisable basemap can lend borrowed authority to uncertain thematic data because readers often experience the composition as one coherent map. - [Why Every Feature Does Not Deserve a Label](https://geobble.com/journal/why-every-feature-does-not-deserve-a-label): A label is not merely a name placed on a map. It is a claim on the reader's attention. - [Why Map Publication Is a Change of Audience](https://geobble.com/journal/why-map-publication-is-a-change-of-audience): While a map remains inside a working Project, its assumptions can be carried in conversation. - [Why Evidence Should Travel with Extracted Geography](https://geobble.com/journal/why-evidence-should-travel-with-extracted-geography): When a report says that a bridge lies near a village, extracting a point or line is only half the task. - [The Difference Between Showing Data and Explaining Geography](https://geobble.com/journal/the-difference-between-showing-data-and-explaining-geography): Putting geographic data on a map makes it visible. Explaining geography requires more: a question, a comparison, context and an account of why the pattern may exist or remain uncertain. - [Why the Same Data Can Produce Several Defensible Maps](https://geobble.com/journal/why-the-same-data-can-produce-several-defensible-maps): The same dataset can support different honest maps because mapmaking requires choices about question, geography, transformation and emphasis rather than mechanically printing values. - [Why Good Cartography Sometimes Means Showing Less](https://geobble.com/journal/why-good-cartography-sometimes-means-showing-less): Maps become more useful through selection as well as addition. The difficult craft is deciding what deserves immediate visibility and what should remain available without competing for attention. - [Why Every Map Needs an Intended Audience](https://geobble.com/journal/why-every-map-needs-an-intended-audience): A map designed for everyone usually ends up optimised for no one. - [A Map Should Say What It Cannot Tell You](https://geobble.com/journal/a-map-should-say-what-it-cannot-tell-you): Maps are persuasive because they make complex data look spatially complete. A limitation note interrupts that completeness, which is why it is easy to omit—and why it matters. ## Learn - [How Does a Spatial Join Work?](https://geobble.com/learn/how-does-a-spatial-join-work): Learn how spatial joins match features by location, how spatial predicates determine which features match, and why one feature can sometimes join to several others. - [GeoJSON vs Shapefile vs GeoPackage vs KML](https://geobble.com/learn/geojson-vs-shapefile-vs-geopackage-vs-kml): Compare GeoJSON, Shapefile, GeoPackage, and KML by structure, capabilities, interoperability, web use, and typical GIS workflows so you can choose the right format for the job. - [What Is a Coordinate Reference System?](https://geobble.com/learn/what-is-coordinate-reference-system): Learn what a coordinate reference system is, how it gives coordinates geographic meaning, and how geographic and projected CRSs differ. - [Multipart Features vs Multiple Features](https://geobble.com/learn/multipart-features-vs-multiple-features): A multipart feature stores several geometry parts under one feature record; multiple features store those parts as separate records with independent identities and attributes. - [CC BY vs CC0 vs ODbL for Spatial Data](https://geobble.com/learn/cc-by-vs-cc0-vs-odbl-for-spatial-data): CC BY 4.0 permits reuse with attribution, CC0 aims to remove copyright/database-right restrictions to the greatest extent possible, and ODbL is a database-focused attribution/share-alike licence. - [What Is the Modifiable Areal Unit Problem?](https://geobble.com/learn/what-is-the-modifiable-areal-unit-problem): The modifiable areal unit problem is the tendency for mapped and statistical patterns to change when the same underlying observations are aggregated into different zone systems or geographic scales. - [What Is a Map Style Specification?](https://geobble.com/learn/what-is-a-map-style-specification): A map style specification is a structured, machine-readable description of which data sources and layers to draw, in what order, and with which visual rules. - [How Do You Choose Between Points and Polygons?](https://geobble.com/learn/how-do-you-choose-between-points-and-polygons): Use a point when one representative location is enough; use a polygon when extent, boundary, area or containment is part of the question. - [Licence vs Terms of Use](https://geobble.com/learn/licence-vs-terms-of-use): A data licence generally grants permissions and sets conditions for using the material, while terms of use govern your relationship with a website, API or service and may impose separate access or contractual rules. - [Why Classification Changes the Story of a Map](https://geobble.com/learn/why-classification-changes-the-story-of-a-map): Classification creates the thresholds that make areas look similar or different, so changing class breaks can materially change the geographic pattern readers perceive. - [Client-Side vs Server-Side Map Rendering](https://geobble.com/learn/client-side-vs-server-side-map-rendering): Client-side rendering draws map content in the user's device, while server-side rendering produces map images or other render outputs before they reach the client. - [Point, Line, Polygon, and Raster Explained](https://geobble.com/learn/point-line-polygon-and-raster-explained): Points, lines, polygons and rasters are different ways of modelling geographic phenomena, each preserving different kinds of spatial information. - [Original Data vs Derived Data](https://geobble.com/learn/original-data-vs-derived-data): Original data is the source state you received or collected; derived data is created by transforming, combining, summarising or interpreting source data, even when the change seems small. - [What Is a Meaningful Midpoint?](https://geobble.com/learn/what-is-a-meaningful-midpoint): A meaningful midpoint is a substantively important reference value—such as zero change, parity or a target—that justifies the centre of a diverging colour scale. - [Map Scale vs Zoom Level](https://geobble.com/learn/map-scale-vs-zoom-level): Map scale expresses a ratio between map distance and ground distance, while web-map zoom level identifies a level in a multiscale tile or camera system. - [What Is Geolocation Uncertainty?](https://geobble.com/learn/what-is-geolocation-uncertainty): Geolocation uncertainty describes the set or range of positions that remain plausible for a reported location, and it can materially change spatial joins, proximity analysis, and publication decisions. - [What Is a Dataset Version?](https://geobble.com/learn/what-is-a-dataset-version): A dataset version identifies a defined state of data so changes in records, schema, geometry, methods or meaning can be traced and reproduced. - [How Outliers Affect Choropleth Classification](https://geobble.com/learn/how-outliers-affect-choropleth-classification): Outliers can stretch a choropleth's value range, compress most areas into similar colours and strongly influence where classification methods place their breaks. - [What Is a Tile Pyramid?](https://geobble.com/learn/what-is-a-tile-pyramid): A tile pyramid is a multiscale hierarchy of map tiles in which each higher zoom level divides the map into more tiles and can carry more geographic detail. - [How Many Decimal Places Do Coordinates Need?](https://geobble.com/learn/how-many-decimal-places-do-coordinates-need): Choose coordinate decimal places from the source accuracy, coordinate units, analytical use, and publication risk rather than from the maximum precision a database can store.