Results 71 to 80 of about 1,791 (210)
Spatiotemporal event detection: a review
The advancements of sensing technologies, including remote sensing, in situ sensing, social sensing, and health sensing, have tremendously improved our capability to observe and record natural and social phenomena, such as natural disasters, presidential
Manzhu Yu +12 more
doaj +1 more source
From walking to staying:the impact of spatial qualities on socio-spatial segregation in innovation districts [PDF]
Innovation districts can spur urban economic growth but present challenges like socio-spatial segregation. To mitigate segregation, we emphasize the importance of “staying activities” such as sitting, playing, and relaxing, over transient activities like
Gao, Tongchaoran +3 more
core +1 more source
ABSTRACT Recent advances in large language models (LLMs) have fueled growing interest in automating geospatial analysis and GIS workflows, yet their actual capabilities remain uncertain. In this work, we call for rigorous evaluation of LLMs on well‐defined geoprocessing tasks before making claims about full GIS automation.
Qianheng Zhang +8 more
wiley +1 more source
Implementation of a GEOAI model to assess the impact of agricultural land on the spatial distribution of PM2.5 concentration [PDF]
: Air pollution is considered one of the major environmental risk to health worldwide. Researchers are making significant efforts to study it, thanks to state-of-art technologies in data collection and processing, and to mitigate its effect.
Brovelli, Maria Antonia +3 more
core +1 more source
ABSTRACT Lying at the core of human–environment interactions, mobility reflects how individuals and groups are shaping and shaped by their socioenvironmental surroundings. Human mobility patterns are vital in cities, but their modeling remains challenging due to the spatial heterogeneity of locations, irregular spatial interactions, diverse travel ...
Sheng Wang, Di Zhu
wiley +1 more source
GeoAI in Topographic Mapping: Navigating the Future of Opportunities and Risks
Geospatial Artificial Intelligence (GeoAI) has been advancing and altering geographic information systems and Earth observation by enhancing the computation and understanding capabilities of these systems.
Bala Bhavya Kausika, Vincent van Altena
doaj +1 more source
Advancing Urban Analytics: GeoAI Applications in Spatial Decision-Making and Sustainable Cities
The rapid growth of geospatial data and advances in artificial intelligence (AI) have driven GeoAI’s rise as a key paradigm in urban analytics. GeoAI methods support spatial planning, risk assessment, and policymaking in cities facing climate change ...
Sorin Avram
doaj +1 more source
Geospasial Intelijen Menggunakan Teknologi Satelit untuk Identifikasi Potensi Sumber Daya Energi dan Meningkatkan Keamanan Nasional [PDF]
Geospatial intelligence all activities involved in planning, collecting, processing, analyzing, exploiting, and disseminating spatial information obtained to gain intelligence about the national security or operational environment, and providing visual ...
Adang Supriyadi, Asep +3 more
core +2 more sources
Short Abstract Central and Eastern European geography, shaped by its historical hybridity and deep entanglement of natural and social sciences, offers a distinctive lens for rethinking disciplinary unity. By examining the current post‐transitional state of the field and four major thematic arenas, ranging from migration and the green transition to ...
Mariusz Lamentowicz +3 more
wiley +1 more source

