Maps and geodata

39 use cases, 13 specialists

GIS analyst

  • AI for creating maps: a PDF map for a report

    Builds a map from your data with a legend, a scale bar, and a north arrow and saves it as a PDF or an image for a report and a presentation.

  • Heat map and choropleth map from your data with AI

    Builds a heat map, a choropleth map, or a proportional symbol map from a point layer or a table with coordinates, with a legend and a color scale that stays distinguishable for people with color vision deficiency.

  • AI assistant for GIS analysts: buffers, intersections, areas

    Performs selection by location, buffering, and clipping and merging of layers, calculates areas and distances, and exports the result to Excel for those who do not work with GIS.

Cartographic designer

  • Colors for a thematic map: choosing a color scale with AI

    Selects a color scale for the data type (sequential, diverging, or categorical) and a classification method, taking into account people with color vision deficiency.

  • Map labels and fonts: AI cartographer

    Sets the fonts and the order of labels by feature importance, halos for legibility on a busy basemap, and rules that keep labels from overlapping each other.

  • AI for map design: basemap, legend, layout

    Selects or recolors a basemap to suit the task and assembles a layout with a legend, a scale bar, and a title in a single style for the whole map series.

Web map developer

  • Interactive map for a website with AI

    Builds a web map on MapLibre or Leaflet with search, feature cards, measurements, and a layout that looks right on a phone.

  • Map with real-time data: AI agent for web GIS

    Connects live data to the map via WebSocket or regular polling and shows object movement, a time slider, and an auto-refreshing panel.

  • Connecting WMS, WFS, and vector tiles to a web map with AI

    Connects WMS, WFS, and OGC API geoservices to the map and, for large datasets, adds vector tiles, clustering, and loading of the visible area only.

3D map developer

  • 3D terrain map in the browser with AI

    Builds a 3D scene in the browser on Cesium or a similar library: terrain from a digital elevation model, building models, and lighting by time of day.

  • Lidar point cloud in the browser: viewing and measuring with AI

    Renders a laser scanning point cloud in a web scene with coloring by elevation or class, loading in chunks, and measurement of distances, areas, and volumes.

  • Terrain flyover and 3D project presentation: AI agent

    Sets a camera route for an automatic flyover or walkthrough of the scene and drapes flat layers over the terrain with adjustable transparency.

Geospatial data engineer

  • Geodata conversion with AI: Shapefile, GeoJSON, KML, DXF

    Converts data between formats (Shapefile, GeoPackage, GeoJSON, KML, GPX, DXF, CSV) with the correct coordinate system and encoding, including in batches.

  • Coordinate transformation and geodata cleanup: AI engineer

    Finds layers with a missing or incorrect coordinate system, brings everything to a single one, fixes self-intersections and duplicate vertices, and standardizes field names and encoding.

  • Automated geodata pipeline in Python and GDAL with AI

    Writes a repeatable pipeline for loading and updating data in Python and GDAL, with a log of every step, processing of only what has changed, and a check of the result.

Spatial data analyst

  • Finding hot spots on a map: spatial statistics with AI

    Finds statistically significant clusters of events in your data (sales, requests, incidents) and shows them on a map with a significance test.

  • Choosing a store location using geodata with AI

    Calculates how accessible the options are for shoppers (catchment areas, a gravity model, proximity of competitors) and compiles the locations into a table with a map.

  • Interpolation and prediction from points on a map: AI analyst

    Builds models that take spatial neighbors into account (spatial regression, kriging) and predicts values at points without measurements, with confidence intervals.

Geoprocessing specialist

  • Batch processing in ArcGIS Pro with an ArcPy script using AI

    Writes an ArcPy script that will clip a hundred layers, reproject rasters, or export layouts in a batch on its own, with a log and resumption after a failure.

  • Custom tool for QGIS or ArcGIS Pro: AI builds it in Python

    Builds a geoprocessing tool that colleagues run from the application without code, with easy-to-understand parameters, input validation, and clear error messages.

  • Geoprocessing model in Model Builder: diagram and Python export with AI

    Assembles a visual geoprocessing chain with conditions and iteration that non-programmers can understand and, if needed, converts it into a Python script.

Geospatial data quality inspector

  • Geodata topology check with AI

    Checks layers for self-intersections, empty geometry, duplicates, and gaps and overlaps between adjacent parcels, and produces a list of errors with coordinates.

  • Geodata metadata audit against ISO 19115: AI inspector

    Checks metadata against ISO 19115 (lineage, accuracy, contacts, coordinate system, data currency dates) and writes what is missing.

  • Geodata accuracy assessment using check points with AI

    Calculates the root mean square error of position from check points, an error matrix for the attributes, and the completeness of the dataset, and compiles everything into a report before loading.

Drone survey specialist

  • Orthomosaic from drone photos with AI

    Analyzes your photos and ground control points, selects the processing settings in the photogrammetry software, and checks the finished orthomosaic for georeferencing errors and gaps.

  • Flight plan calculation for an aerial survey with AI

    Calculates the altitude, overlap, speed, and camera settings for the required resolution, taking the terrain into account, and proposes a layout of ground control points.

  • Point cloud classification and terrain model: AI assistant

    Writes a script that splits the point cloud into ground, vegetation, and buildings, builds a digital terrain model from the ground points, and exports LAS or LAZ for GIS.

Satellite imagery AI engineer

  • AI for detecting objects in satellite images

    Prepares a training dataset and writes code that finds buildings, roads, vehicles, or solar panels in the images, and checks the accuracy for each class.

  • Land cover classification from Sentinel-2 images with AI

    Builds a map of land types (forest, cropland, water, built-up areas) from multispectral images and tests it on an area that was not used in training.

  • Change detection in satellite images from different years: AI agent

    Compares images of the same place from different dates and highlights new buildings, forest clearing, and changes in water bodies and the shoreline.

BIM and GIS specialist

  • Converting Revit and IFC models to GIS with AI

    Converts a building model from IFC into GIS layers, preserving room names, floors, areas, and materials, and ties it to real-world coordinates.

  • Building digital twin: data model with AI

    Designs the data model of a digital twin (the static part from BIM, sensor readings, maintenance requests) and describes how to keep it consistent with the real building.

GIS solutions engineer

  • Rapid prototype of a GIS solution with an AI agent

    Builds a working prototype on your data (a web map, an analysis script, or an export) to test the idea before full development.

  • GIS project feasibility check with AI

    Checks on samples of your data how much cleaning the data will need, whether the solution can handle a million features, and whether there are any license restrictions, and estimates the effort.

  • Demonstrating a GIS solution to a client: AI prepares the demo

    Prepares a demo that works without an internet connection: preloaded data, backup screenshots, and a narrative script built around the client's task.

GIS consultant

  • GIS audit for a company: AI consultant reviews tasks and data

    Analyzes the client's task, current systems, and data and writes where a map and the location of objects will deliver measurable benefit and where GIS is not needed.

  • GIS implementation plan and platform selection with AI

    Compares open-source, commercial, and hybrid options against the client's conditions and lays out a phased transition from spreadsheets and drawings to GIS.

  • Technical proposal and statement of work for a GIS project with AI

    Writes the technical section of a proposal or a statement of work in Word: work packages, timelines with a buffer for data cleaning, hidden costs, and three solution tiers.