Flood Risk Analysis with Explainable Geospatial Artificial Intelligence (GeoAI) Techniques
SystemsExtreme precipitation events, rapid urbanization, and irregular land use have significantly increased flood risk in recent years. In order to mitigate risks and enhance urban resilience, there is a need for the integration of innovative approaches with ...
Mirac Taha Derman, Muhammed Oguzhan Mete
doaj +2 more sources
Illuminating the path to more equitable access to urban parks [PDF]
Scientific ReportsParks are a crucial element of urban landscapes. Understanding the role of the built environment in terms of park accessibility is vital for promoting travel equity and shaping public policies to improve access to urban parks.
Kaihan Zhang +4 more
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A research agenda for GIScience in a time of disruptions. [PDF]
Int J Geogr Inf SciSocial issues, AI, and climate change are just a few of the disruptive focuses impacting science. The field of GIScience is well positioned to respond to accelerating disruptions due to the interdisciplinary nature of the field and the ability of ...
Nelson T +26 more
europepmc +3 more sources
Artificial Intelligence for Multisource Geospatial Information
ISPRS International Journal of Geo-Information, 2022 The term Geospatial Artificial Intelligence (GeoAI) is quite cumbersome, and it has no single, shared definition [...]
Gloria Bordogna, Cristiano Fugazza
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A CONCEPTUAL MODEL FOR CONVERTING OPENSTREETMAP CONTRIBUTION TO GEOSPATIAL MACHINE LEARNING TRAINING DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 In the recent decade, Volunteered Geographical Information (VGI), in particular the OpenStreetMap (OSM), has helped to fill substantial data gaps in base maps, especially in Global South, thus has become a promising source of massive, free training data ...
H. Li, A. Zipf, A. Zipf
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GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data [PDF]
Geoscientific Instrumentation, Methods and Data Systems, 2022 Researchers have explored the benefits and applications of modern artificial intelligence (AI) algorithms in different scenarios. For the processing of geomatics data, AI offers overwhelming opportunities.
R. Pierdicca, M. Paolanti, M. Paolanti
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Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices [PDF]
, 2020 There are growing opportunities to leverage new technologies and data sources to address global problems related to sustainability, climate change, and biodiversity loss.
Curry, Edward +3 more
core +3 more sources
Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations (Short Paper) [PDF]
, 2023 This research focuses on assessing the ability of large language models (LLMs) in representing geometries and their spatial relations. We utilize LLMs including GPT-2 and BERT to encode the well-known text (WKT) format of geometries and then feed their ...
Gao, Song, Ji, Yuhan
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A review of spatially-explicit GeoAI applications in Urban Geography
International Journal of Applied Earth Observations and Geoinformation, 2022 Urban Geography studies forms, social fabrics, and economic structures of cities from a geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban Geography seeks new models and research paradigms to explain urban phenomena ...
Pengyuan Liu, Filip Biljecki
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Transactions in GIS, Volume 27, Issue 4, Page 949-974, June 2023., 2023 Abstract Over the past decade, the electric vehicle (EV) industry has experienced unprecedented growth and diversification, resulting in a complex ecosystem. To effectively manage this multifaceted field, we present an EV‐centric knowledge graph (EVKG) as a comprehensive, cross‐domain, extensible, and open geospatial knowledge management system.
Yanlin Qi +3 more
wiley +1 more source