Results 11 to 20 of about 766 (173)
Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field enjoying tremendous adoption. However, the efficient design and implementation of GeoAI systems face many open challenges. This is mainly due to the lack of non-standardized approaches to artificial intelligence tool development, inadequate platforms, and a lack of ...
Dalton Lunga +2 more
exaly +3 more sources
This study aims to predict vital soil physical properties, including clay, sand, and silt, which are essential for agricultural management and environmental protection. Precision distribution of soil texture is crucial for effective land resource management and precision agriculture.
Seyed Vahid Razavi-Termeh +2 more
exaly +2 more sources
GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for spatial analytics in Geography. Although much progress has been made in exploring the integration of AI and Geography, there is yet no clear definition of ...
Wenwen Li, Chia-Yu Hsu
doaj +3 more sources
Artificial Intelligence in Earth Science: A GeoAI Perspective
GeoAI, or geospatial artificial intelligence (AI), has transformative potential for Earth science by integrating geospatial data with AI to enhance environmental monitoring, predictive modeling, and decision‐making.
Wenwen Li
doaj +2 more sources
Short-Term Exposure to Fine Particulate Matter (PM<sub>2.5</sub>), Cause Specific-Mortality, and High-Risk Populations: A Nationwide Time-Stratified Case-Crossover Study. [PDF]
Abstract Numerous studies have reported that short‐term exposure to fine particulate matter (PM2.5) is associated with mortality risk; however, results on high‐risk populations and regions have been mixed. This study performed a nationwide time‐stratified case‐crossover study to assess the association between short‐term PM2.5 and mortality in South ...
Ahn S +10 more
europepmc +2 more sources
Towards the next generation of Geospatial Artificial Intelligence
Geospatial Artificial Intelligence (GeoAI), as the integration of geospatial studies and AI, has become one of the fastest-developing research directions in spatial data science and geography.
Gengchen Mai +8 more
doaj +3 more sources
A Machine Learning-Based Dynamic SST Index for Long-Lead Malaria Prediction in the Peruvian Amazon. [PDF]
Abstract Malaria imposes a major health burden in the Peruvian Amazon, and its early warning is essential for effective disease prevention. The tropical sea surface temperature (SST) variability, fundamentally shaping the global weather patterns, may also alter malaria transmission and potentially improve its long‐lead predictability. In this study, we
Pan M +7 more
europepmc +2 more sources
Prospective for urban informatics. [PDF]
The specialization of different urban sectors, theories, and technologies and their confluence in city development have led to a greatly accelerated growth in urban informatics, the transdisciplinary field for understanding and developing the city ...
Shi W +5 more
europepmc +3 more sources
When Machine Learning Meets Geospatial Data: A Comprehensive GeoAI Review
In recent years, geospatial artificial intelligence (GeoAI) has gained traction in the most relevant research works and industrial applications, while also becoming involved in various fields of use. This article offers a comprehensive review of GeoAI as
Anasse Boutayeb +2 more
doaj +3 more sources
Kecerdasan Buatan berbasis Geospasial (GeoAI) menggunakan Google Earth Engine untuk Monitoring Fenomena Urban Heat Island di Indonesia [PDF]
ABSTRAK Fenomena Urban Heat Island (UHI) sangat penting untuk dimonitor agar terjaga kualitas lingkungan perkotaan. Dewasa ini teknologi kecerdasan buatan berbasis geospasial (GeoAI) merupakan teknologi yang menjanjikan untuk mengidentifikasi dan ...
SONI DARMAWAN +2 more
doaj +3 more sources

