AwsomeMap

Review paper

• Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
• Unlocking Location Intelligence: A Survey from Deep Learning to The LLM Era
• A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare
• Urban Foundation Models: A Survey

Papers: Urban planning

• PlanGPT: Enhancing Urban Planning with Tailored Language Model and Efficient Retrieval
• Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
• Interactive Smart City Data Visualization Techniques for Urban Planning
• Adaptive Urban Planning: A Hybrid Framework for Balanced City Development
• URBANPLANBENCH: A COMPREHENSIVE URBAN PLANNING BENCHMARK FOR EVALUATING LARGE LANGUAGE MODELS
• Planning, Living and Judging: A Multi-agent LLM-based Framework for Cyclical Urban Planning
• UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language Models
• Large Language Model for Participatory Urban Planning
• UrbanGPT: Spatio-Temporal Large Language Models
• Urban Computing in the Era of Large Language Models
• CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks
• Optimizing and Fine-tuning Large Language Model for Urban Renewal
• Urban Region Pre-training and Prompting: A Graph-based Approach
• TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models
• Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning
• Unlocking Location Intelligence: A Survey from Deep Learning to The LLM Era
• Deep-Generative-Learning-for-Automated-Urban-Planning Public
• Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
• Dual-stage Flows-based Generative Modeling for Traceable Urban Planning
• A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method
• Development of an AI advisor for conceptual land use planning
• Urban land use mix and AI: A systematic review
• AI-Driven urban planning optimization: A graph neural network and genetic algorithm framework for tackling peak-hour challenges

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🗺️ Python Libraries for Geospatial and Map Visualizations

• Plotly
  Interactive geographic visualizations using scatter_mapbox, choropleth_mapbox, scatter_geo.

• geemap
  Built on Google Earth Engine and folium, excellent for rendering environmental raster layers and time-series maps.

• Folium
  Uses Leaflet.js for interactive web maps—great for points, heatmaps, choropleths.

• Cartopy
  Advanced projections and scientific plotting with Matplotlib.

• Kepler.gl (via Jupyter widget)
  High-performance WebGL mapping inside Jupyter notebooks.

• GeoPandas + Matplotlib
  Vector-data handling and static map plotting with customizable styling.

• Bokeh
  Interactive map plotting with glyphs, zoom/pan, and tile support.

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🛠️ Python Libraries for Geospatial Analysis

• GeoPandas
  Vector data in pandas-like DataFrames; spatial joins, buffer, overlay.

• Shapely
  Core geometry operations—creation, union, intersection, buffering.

• Fiona
  Reads/writes vector files (Shapefile, GeoJSON). Works under-the-hood with GeoPandas.

• GDAL/OGR
  Versatile raster/vector IO and format conversion tool.

• Rasterio
  Raster data operations—crop, reproject, resample; integrates with NumPy.

• rioxarray
  Raster I/O with xarray support and coordinate-aware processing.

• Pyproj
  Interface to PROJ for CRS transformations.

• Geoplot
  For quick and attractive geo‑viz (choropleths, dot maps).

• ipyleaflet
  Interactive Jupyter map widget (Leaflet backend).

• OSMnx
  Download and analyze street networks and POIs from OpenStreetMap.

• NetworkX
  Graph/network analysis—useful for street and connectivity modeling.

• WhiteboxTools
  Advanced raster engineering for hydrology, terrain analysis.

• EarthPy
  Raster and vector science utilities built on Rasterio and GeoPandas.

• Google Earth Engine Python API
  Cloud-scale raster and vector processing.

• Geomancer
  Geospatial feature engineering for ML pipelines.

• Segment‑Geospatial
  Segment Anything (SAM) model for geospatial imagery.

• Leafmap
  Interactive mapping and geospatial analysis in Jupyter, built on Folium and ipyleaflet.

• OpenDroneMap (ODM)
  Python photogrammetry toolkit for drone imagery: orthomosaics, point clouds, meshes.

• TorchGeo
  Deep‑learning workflows for remote sensing datasets.

• GeoPySpark / GeoTrellis
  Python bindings to GeoTrellis for distributed raster map-algebra.

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📦 Geospatial “Awesome” Repositories

• sacr​idini/Awesome‑Geospatial
  A comprehensive list of GIS tools, libraries, data sources, web platforms, ML frameworks.

• opengeos/python‑geospatial
  Binder‑ready Python packages tutorial for geospatial data science.

• sshuair/awesome‑gis
  Curated directory of GIS software, spatial libraries, data, and community resources.

• danlopez00/awesome‑geospatial
  Organized listing of geospatial tools across Python, PostGIS, JavaScript, ML, etc.

• mishagrol/Awesome‑Geospatial‑ML‑Toolkit
  Focused on ML applications in geospatial/environmental data .