Results 111 to 120 of about 766 (173)

GeoAI Reproducibility and Replicability: a computational and spatial perspective

GeoAI has emerged as an exciting interdisciplinary research area that combines spatial theories and data with cutting-edge AI models to address geospatial problems in a novel, data-driven manner.
Hsu, Chia-Yu, Kedron, Peter, Li, Wenwen, Wang, Sizhe   +3 more
core  

An Ensemble Framework for Explainable Geospatial Machine Learning Models

Analyzing spatial varying effect is pivotal in geographic analysis. Yet, accurately capturing and interpreting this variability is challenging due to the complexity and non-linearity of geospatial data.
Liu, Lingbo
core  

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

Advancing translational human dynamics research: bridging space, mind, and computational urban science in the era of GeoAI

Computational Urban Science
Human dynamics research has undergone a significant transformation over the past decade, driven by interdisciplinary collaboration and technological innovation. This opinion paper examines the evolution of the field in the past ten years, focusing on its
Bin Jiang, Tao Cheng, Ming-Hsiang Tsou, Di Zhu, Xinyue Ye   +4 more
doaj   +1 more source

Geospatial Knowledge Graphs

Geospatial knowledge graphs have emerged as a novel paradigm for representing and reasoning over geospatial information. In this framework, entities such as places, people, events, and observations are depicted as nodes, while their relationships are ...
Zhu, Rui
core  

Editorial: Applications of geospatial information technologies and spatial statistics in health services research. [PDF]

Front Public Health, 2023
Song C, Wang X, Ge E, Shi X, Pan J.
europepmc   +1 more source

Toward Advanced Sensing and Data-Driven Approaches for Maturity Assessment of Indeterminate Peanut Cropping Systems: Review of Current State and Prospects. [PDF]

Sensors (Basel)
Sahayaraj SRE, Chandel AK, Jjagwe P, Vennam RR, Balota M, Manimozhian A.   +5 more
europepmc   +1 more source

GIS-based neural network framework for zoonotic cutaneous leishmaniasis risk mapping in Western Iran. [PDF]

Environ Monit Assess
Parto Dezfooli F, Valadan Zoej MJ, Youssefi F, Alatab S, Ghaderpour E.   +4 more
europepmc   +1 more source

A geospatial platform to support visualization, analysis, and prediction of tuberculosis notification in space and time. [PDF]

Front Public Health, 2022
Dao TP, Hoang XHT, Nguyen DN, Huynh NQ, Pham TT, Nguyen DT, Nguyen HB, Do NH, Nguyen HV, Dao CH, Nguyen NV, Bui HM.   +11 more
europepmc   +1 more source

Mapping war trauma: A machine learning approach to predict mental health impacts in Ukraine. [PDF]

SSM Popul Health
Tayebi S, Sert Oti A, Fathollahian H, Haque U.   +3 more
europepmc   +1 more source