TIMELINE_PAPER.md

論文タイムライン

2022

2022-05

• 2022-05-17: ERNIE-GeoL
  • ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu Maps
  • 2022-08-14
    • ERNIE-GeoL: A Geography-and-Language Pre-trained Model and its Applications in Baidu Maps

2022-10

• 2022-10-21: SpaBERT
  • SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation

2022-11

• 2022-11-01
  • Geo-Information Harvesting from Social Media Data
• 2022-11-04
  • A General Purpose Neural Architecture for Geospatial Systems
• 2022-11-28: G^3
  • G^3: Geolocation via Guidebook Grounding

2022-12

• 2022-12-16: GeoBERT
  • GeoBERT: Pre-Training Geospatial Representation Learning on Point-of-Interest
• 2022-12-20
  • Geographic and Geopolitical Biases of Language Models
• 2022-12-22
  • Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base

2023

2023-01

• 2023-01-11: MGeo
  • MGeo: Multi-Modal Geographic Pre-Training Method

2023-03

• 2023-03-14: geo-twitter
  • Predicting the Geolocation of Tweets Using transformer models on Customized Data

2023-04

• 2023-04-13
  • On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
• 2024-04-29
  • Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy Multilingual User Input

2023-05

• 2023-05-07
  • Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes
• 2023-05-11: GeoGLUE
  • GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
• 2023-05-10: Autonomous GIS
  • Autonomous GIS: the next-generation AI-powered GIS
  • 2023-11-12: Autonomous GIS, LLM-Geo
    • Autonomous GIS: the next-generation AI-powered GIS
• 2023-05-24
  • This Land is {Your, My} Land: Evaluating Geopolitical Biases in Language Models
• 2023-05-27: GeoNet
  • GeoNet: Benchmarking Unsupervised Adaptation across Geographies
• 2023-05-30: GPT4GEO
  • GPT4GEO: How a Language Model Sees the World's Geography

2023-06

• 2023-06-06: GEO-Bench
  • GEO-Bench: Toward Foundation Models for Earth Monitoring
• 2023-06-08: K2
  • K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization

2023-07

• 2023-07-11: PIGEON
  • PIGEON: Predicting Image Geolocations
• 2023-07-16: GeoGPT
  • GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

2023-08

• 2023-08-30: Text-to-OverpassQL
  • Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap
  • 2024-04-30
    • Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap
• 2023-08-31
  • Towards Geospatial Foundation Models via Continual Pretraining

2023-09

• 2023-09-12: samgeo
  • samgeo: A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
• 2023-09-25
  • Assessment of a new GeoAI foundation model for flood inundation mapping
• 2023-09-27: GeoCLIP
  • GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization

2023-10

• 2024-10-09
  • Are Large Language Models Geospatially Knowledgeable?
• 2024-10-10: GeoLLM
  • GeoLLM: Extracting Geospatial Knowledge from Large Language Models
• 2023-10-23: GeoLM
  • GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding
• 2023-10-23
  • Geographical Erasure in Language Generation
• 2023-10-28: Prithvi
  • Foundation Models for Generalist Geospatial Artificial Intelligence

2023-11

• 2023-11-06: GeoQuestions1089
  • Benchmarking Geospatial Question Answering Engines Using the Dataset GeoQuestions1089
• 2023-11-20: CurriculumLoc
  • CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement
• 2023-11-21: GeoText-1652
  • Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching
• 2023-11-24: GeoChat
  • GeoChat: Grounded Large Vision-Language Model for Remote Sensing
• 2023-11-28: SatCLIP
  • SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

2023-12

• 2023-12-31: GeoGalactica
  • GeoGalactica: A Scientific Large Language Model in Geoscience

2024

2024-01

• 2024-01-04
  • Correctness Comparison of ChatGPT-4, Gemini, Claude-3, and Copilot for Spatial Tasks
• 2024-01-12
  • A systematic review of geospatial location embedding approaches in large language models: A path to spatial AI systems
• 2024-01-14: MapGPT
  • MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation

2024-02

• 2024-02-05
  • Large Language Models are Geographically Biased

2024-05

• 2024-05-04: remote-sensing-image-retrieval
  • Multi-Spectral Remote Sensing Image Retrieval Using Geospatial Foundation Models
• 2024-05-23: G3
  • G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
• 2024-05-23
  • Learning Geospatial Region Embedding with Heterogeneous Graph
• 2024-05-30: LLMGeo
  • LLMGeo: Benchmarking Large Language Models on Image Geolocation In-the-wild

2024-06

• 2024-06-13: VLGFMs
  • Towards Vision-Language Geo-Foundation Model: A Survey
• 2024-06-26
  • Evaluating and Benchmarking Foundation Models for Earth Observation and Geospatial AI
• 2024-06-26: Geode
  • Geode: A Zero-shot Geospatial Question-Answering Agent with Explicit Reasoning and Precise Spatio-Temporal Retrieval

2024-07

• 2024-07-13: Autonomous GIS, LLM-Find, AutonomousGIS_GeodataRetrieverAgent
  • An Autonomous GIS Agent Framework for Geospatial Data Retrieval
• 2024-07-22: GeoLingIt
  • Leveraging Large Language Models to Geolocate Linguistic Variations in Social Media Posts

2024-08

• 2024-08-18
  • Image-Based Geolocation Using Large Vision-Language Models
• 2024-08-21: GeoReasoner
  • GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language Understanding
• 2023-08-21: smileGeo
  • Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework
• 2024-08-22
  • Self-supervised Learning for Geospatial AI: A Survey
• 2024-08-22: LLMGeovec
  • Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning
• 2024-08-27
  • Urban context and delivery performance: Modelling service time for cargo bikes and vans across diverse urban environments
• 2024-08-30
  • GeoAI in resource-constrained environments
• 2024-08-31
  • Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability

2024-09

• 2024-09-22
  • Beyond Words: Evaluating Large Language Models in Transportation Planning

2024-10

• 2024-10-06: geospatial-code-llms-dataset
  • Evaluation of Code LLMs on Geospatial Code Generation
• 2024-10-13: GeoCode-Eval, GeoCode-Bench, GEECode-GPT
  • Can Large Language Models Generate Geospatial Code?
• 2024-10-16: ShapefileGPT
  • ShapefileGPT: A Multi-Agent Large Language Model Framework for Automated Shapefile Processing
• 2024-10-22: GeoCode-GPT
  • GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
• 2024-10-24: GeoAgent
  • An LLM Agent for Automatic Geospatial Data Analysis
• 2024-10-24
  • Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning
• 2024-10-25: GeoLLaVA
  • GeoLLaVA: Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
• 2024-10-28: Geo-FuB
  • Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models
• 2024-10-29
  • Geospatial Foundation Models: Recent Advances and Applications

2024-11

• 2024-11-05: GIS Copilot, SpatialAnalysisAgent
  • GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis
• 2024-11-10: CityGuessr
  • CityGuessr: City-Level Video Geo-Localization on a Global Scale
• 2024-11-16:
  • Chain-of-Programming (CoP) : Empowering Large Language Models for Geospatial Code Generation

TIMELINE_PROJECT.md

開発タイムライン

2021

2021-05

• 2021-05-26: Geo-Bench
  • https://github.com/ServiceNow/geo-bench

2022

2022-10

• 2022-10-13: MGeo, Multi-Modal Geographic Language Model Pre-Training
  • https://github.com/PhantomGrapes/MGeo
• 2022-10-21: SpaBERT, A Pretrained Language Model from Geographic Data for Geo-Entity Representation
  • https://github.com/knowledge-computing/spabert
• 2022-10-22: G^3, Geolocation via Guidebook Grounding
  • https://github.com/g-luo/geolocation_via_guidebook_grounding

2022-11

• 2022-11-09: geo-twitter, Predicting the Geolocation of Tweets Using transformer models on Customized Data
  • https://github.com/K4TEL/geo-twitter

2023

2023-02

• 2023-02-12: QChatGPT (plugin of QGIS), integration between QGIS and OpenAI API. Displays the results from OpenAI in QGIS.
  • https://github.com/KIOS-Research/QChatGPT

2023-03

• 2023-03-18: ChatGeoPT, a toy Geospatial AI Assistant that translates natural language text into OpenStreetMap Overpass API calls
  • https://github.com/earth-genome/ChatGeoPT
  • https://medium.com/@bengmstrong/chatgeopt-exploring-the-future-of-talking-to-our-maps-b1f82903bb05
• 2023-03-30: osm-ai-map, interpret natural language requests into OpenStreetMap Overpass API queries
  • https://github.com/steveattewell/osm-ai-map

2023-04

• 2023-04-17: LLM-Geo (implementation of Autonomous GIS), self-generating, self-organizing, self-verifying, self-executing, and self-growing
  • https://github.com/gladcolor/LLM-Geo
• 2023-04-19: samgeo (segment-geospatial), A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
  • https://github.com/opengeos/segment-geospatial
  • https://samgeo.gishub.org/
• 2023-04-26: Palantir AIP
  • https://www.youtube.com/watch?v=XEM5qz__HOU

2023-05

• 2023-05-02: QGPTAgent (plugin of QGIS), that utilizes the advanced natural language processing capabilities of the OpenAI GPT model to automate various processes in QGIS
  • https://github.com/momaabna/QGPTAgent
• 2023-05-10: GeoQuestions1089, Crowdsourced Geospatial Question-Answering dataset containing triples of question-queries-answers
  • https://github.com/AI-team-UoA/GeoQuestions1089
  • https://huggingface.co/datasets/AI-team-UoA/GeoQuestions1089
• 2023-05-13: TRIDENT
  • https://github.com/yuiseki/TRIDENT

2023-06

• 2023-06-06: GPT4GEO, How a Language Model Sees the World's Geography
  • https://github.com/jonathan-roberts1/GPT4GEO
• 2023-06-05: K2, A Foundation Language Model for Geoscience Knowledge Understanding and Utilization
  • https://github.com/davendw49/k2
• 2023-06-14: Geo-SAM (plugin of QGIS), using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images
  • https://github.com/coolzhao/Geo-SAM
• 2023-06-30: GeoNet, Benchmarking Unsupervised Adaptation across Geographies
  • https://github.com/ViLab-UCSD/GeoNet

2023-07

• 2023-07-08: OSM-GPT, project aims to bridge the gap between natural language queries and querying the OpenStreetMap database, making it easy for users to explore and uncover the treasures hidden within
  • https://github.com/rowheat02/osm-gpt
• 2023-07-16: GeoGPT, an open-source and non-profit exploratory research project for global geoscience research, promotes the open science concept of collaboration, sharing, and co-construction
  • https://geogpt.zero2x.org.cn/
• 2023-07-28: GeoGalactica: A Scientific Large Language Model in Geoscience
  • https://github.com/geobrain-ai/geogalactica
  • https://huggingface.co/geobrain-ai/geogalactica

2023-08

• 2023-08-30: OverpassNL (OverpassT5), Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap
  • https://github.com/raphael-sch/OverpassNL

2023-10

• 2023-10-22: GeoLM, Empowering Language Models for Geospatially Grounded Language Understanding
  • https://github.com/knowledge-computing/geolm
• 2023-10-24: CurriculumLoc, Visual Geolocalization via Multi-Stage Refinement
  • https://github.com/npupilab/CurriculumLoc

2023-11

• 2023-11-07: Loc2Vec, Learning Location Embeddings with Triplet-loss Networks
  • https://github.com/angus-spence/loc2vec
• 2023-11-16: SatCLIP, Global, General-Purpose Location Embeddings with Satellite Imagery
  • https://github.com/microsoft/satclip

2023-12

• 2023-12-10: charites-ai
  • https://github.com/yuiseki/charites-ai
• 2023-12-13 GeoCLIP, Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization
  • https://github.com/VicenteVivan/geo-clip

2024

2024-02

• 2024-02-14: ArcGIS Generative AI Assistants
  • https://mediaspace.esri.com/media/t/1_opret32t
  • https://doc.arcgis.com/en/arcgis-online/administer/configure-assistants.htm
• 2024-02-17: VQASynth (3rd party implementation of SpatialVLM)
  • https://github.com/remyxai/VQASynth
• 2024-02-21: GeoLLM, Extracting Geospatial Knowledge from Large Language Models and Large Language Models are Geographically Biased
  • https://github.com/rohinmanvi/GeoLLM
  • https://rohinmanvi.github.io/GeoLLM/
• 2024-02-28: GeoChat, Grounded Large Vision-Language Model for Remote Sensing
  • https://github.com/mbzuai-oryx/GeoChat

2024-03

• 2024-03-29: Geode, A zero-shot geospatial question answering agent with precise spatiotemporal retrieval and explicit reasoning capabilities
  • https://github.com/devashish-gupta/Geode

2024-04

• 2024-04-19: LLMGeo, Benchmarking Large Language Models on Image Geolocation In-the-wild
  • https://github.com/yeyimilk/LLMGeo

2024-05

• 2024-05-04: remote-sensing-image-retrieval, Multi-Spectral Remote Sensing Image Retrieval using Geospatial Foundation Models
  • https://github.com/IBM/remote-sensing-image-retrieval
• 2024-05-11: LLM-Find, An autonomous GIS agent framework for geospatial data retrieval
  • https://github.com/gladcolor/LLM-Find/
• 2024-05-19: GeoReasoner, Geo-localization with Reasoning in Street Views using a Large Vision-Language Mode
  • https://github.com/lingli1996/GeoReasoner
• 2024-05-24: PIGEON, Predicting Image Geolocations
  • https://github.com/LukasHaas/PIGEON

2024-06

• 2024-06-01: MapGPT, Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation
  • https://github.com/chen-judge/MapGPT

2024-07

• 2024-07-12: CityGuessr: City-Level Video Geo-Localization on a Global Scale
  • https://github.com/ParthPK/CityGuessr
• 2024-07-12: GeoText-1652: Towards Natural Language-Guided Drones, Benchmark with Spatial Relation Matching
  • https://github.com/MultimodalGeo/GeoText-1652

2024-08

• 2024-08-04: AutonomousGIS_GeodataRetrieverAgent (implementation of Autonomous GIS, plugin of QGIS)
  • https://github.com/Teakinboyewa/AutonomousGIS_GeodataRetrieverAgent
  • https://plugins.qgis.org/plugins/AutonomousGIS_GeodataRetrieverAgent/
• 2024-08-18: Geo-FuB, A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models
  • https://github.com/whuhsy/Geo-FuB
• 2023-08-21: smileGeo, Swarm Intelligence in Geo-localization
  • https://anonymous.4open.science/r/ViusalGeoLocalization-F8F5
• 2024-08-23: geospatial-code-llms-dataset, Evaluation of Code LLMs on Geospatial Code Generation
  • https://github.com/kraina-ai/geospatial-code-llms-dataset

2024-09

• 2024-09-06: SpatialAnalysisAgent (implementation of GIS Copilot, plugin of QGIS)
  • https://github.com/Teakinboyewa/SpatialAnalysisAgent
  • https://plugins.qgis.org/plugins/SpatialAnalysisAgent-master/

2024-10

• 2024-10-22: GeoLLaVA, Efficient Fine-Tuned Vision-Language Models for Temporal Change Detection in Remote Sensing
  • https://github.com/HosamGen/GeoLLaVA