Results 91 to 100 of about 1,791 (210)
GeoAI for Precision Public Health in Agrarian Economies: Multi-Disease Risk Profiling in Rice Belt in East Java [PDF]
Public health and food security, particularly in the agribusiness sector, are interconnected. As one of the largest rice-producing provinces in Indonesia, East Java faces numerous infectious diseases.
Budi Fajar Supriyanto +4 more
core +1 more source
City-level Geolocation of Tweets for Real-time Visual Analytics
Real-time tweets can provide useful information on evolving events and situations. Geotagged tweets are especially useful, as they indicate the location of origin and provide geographic context.
Chen, Ray +3 more
core +1 more source
Assessment of IBM and NASA's geospatial foundation model in flood inundation mapping
Vision foundation models are a new frontier in GeoAI research because of their potential to enable powerful image analysis by learning and extracting important image features from vast amounts of geospatial data.
Arundel, Samantha T. +4 more
core
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
core
Teaching spatial data science [PDF]
‘Spatial data science’ er et spirende felt, der udspringer af både geografisk informationsvidenskab, geografi og data science. I denne artikel diskuterer vi først begrebet spatial data science, introducerer dets historie og argumenterer for, at det ...
Rahbek Vierø, Ane, Szell, Michael
core +2 more sources
Identifying invasive species sightings from GeoAI-validated social media posts [PDF]
The spread of invasive species requires scalable monitoring techniques to help guide management and conservation strategies. Here, we explore the potential of GeoAI for the rapid validation of invasive species sightings through social media data.
Fox, Nathan, Van Berkel, Derek
core +1 more source
Integration of Geo-Spatial Data and Machine Learning for Socio-Economic Forecasting
This study proposes an integrated Geo-Spatial Artificial Intelligence (GeoAI) framework that combines geospatial data and machine learning techniques to forecast socio-economic indicators at the regional level.
Budi Hartanto +5 more
doaj +1 more source
Evaluating urban fabric transformations using GeoAI
Urban growth has reshaped land use patterns globally, demanding robust and scalable methodologies to monitor its long-term dynamics. This study proposes a GeoAI-based framework that integrates Random Forest (RF) classification with spatial indicators to ...
Alessandro Vitale
doaj +1 more source
Prediction of Traffic Congestion Using a Time-Series Model and Spatiotemporal Data: A Case Study of the Atlanta Downtown Connector [PDF]
Traffic congestion poses significant socio-economic challenges, and many urban commuters experience time and cost burdens due to traffic jams. Effectively managing and predicting traffic congestion is crucial for contemporary urban planning and ...
Kim, Yunsik
core +1 more source
Managing vector-borne diseases in a geoAI-enabled society:Malaria as an example [PDF]
More than 17 % of all infectious diseases are caused by vector-borne diseases resulting in more than 1 billion cases and over 1 million deaths each year. Of these malaria continues to be a global burden in over eighty countries.
Blanford, Justine Ianthe
core +1 more source

