Results 1 to 10 of about 4,660 (89)

Artificial intelligence in urban science: why does it matter?

Annals of GIS
Urban science aims to explain, discover, understand, and generalize (EDUG) complex, human-centric systems, emphasizing societal context and sustainability.
Xinyue Ye, Tan Yigitcanlar, Michael Goodchild, Xiao Huang, Wenwen Li, Shih-Lung Shaw, Yanjie Fu, Wenjing Gong, Galen Newman   +8 more
doaj   +1 more source

Artificial intelligence and machine learning-powered GIS for proactive disaster resilience in a changing climate

Annals of GIS
Climate change has significantly increased the frequency and severity of disasters, highlighting the limitations of existing disaster response mechanisms. To address these gaps, this study investigates the potential of integrating artificial intelligence
Justin Diehr, Ayorinde Ogunyiola, Oluwabunmi Dada   +2 more
doaj   +1 more source

Idle occupancy and dead piles: new challenges in public charging station promotion

Annals of GIS
As a sustainable and efficient means of mobility, new-energy vehicles are increasingly favoured. The rapid growth of these vehicles requires more attention to the construction and operation of charging infrastructure. However, the development of charging
Mushu Zhao, Dawei Wang, Weifeng Li
doaj   +1 more source

Monitoring vegetation dynamics in East Rennell Island World Heritage Site using multi-sensor and multi-temporal remote sensing data

International Journal of Digital Earth, 2020
East Rennell of Solomon Island is the first natural site under customary law to be inscribed on UNESCO’s World Heritage List. Potential threats due to logging, mining and agriculture led to the site being declared a World Heritage in Danger in 2013.
Mengmeng Wang, Guojin He, Natarajan Ishwaran, Tianhua Hong, Andy Bell, Zhaoming Zhang, Guizhou Wang, Meng Wang   +7 more
doaj   +1 more source

Spatiotemporal estimation of near-surface CO2 concentrations over the global continent based on hybrid machine learning model

Annals of GIS
Understanding the global distribution of CO2 concentrations is crucial for studying the sources and sinks of CO2. Therefore, it is necessary to conduct spatiotemporal estimation of CO2 over the global continent.
Xinfeng Huang, Hui Yang, Senwei Qiao, Yuejing Yao, Liu Cui, Huaiwei Fan, Qingzhou Lv, Yina Qiao, Gefei Feng   +8 more
doaj   +1 more source

Stakeholder analysis of the governance framework of a national SDI dataset – whose needs are met in the buildings and address register of the Netherlands?

International Journal of Digital Earth, 2020
National spatial data infrastructures are key to achieving the Digital Earth vision. In many cases, national datasets are integrated from local datasets created and maintained by municipalities. Examples are address, building and topographic information.
Serena Coetzee, Martijn Odijk, Bastiaan van Loenen, Janette Storm, Jantien Stoter   +4 more
doaj   +1 more source

A GIS based spatiotemporal modelling approach for cycling risk mapping using crowd-sourced sensor data

Annals of GIS
The major objective of this study is to apply integrated data-driven methods to estimate cyclist risk and discomfort in Berlin based on the OpenSenseMap dataset. The proposed approach makes use of crowd-sourced sensor data collected during cycling (speed,
Bakhtiar Feizizadeh, Davoud Omarzadeh
doaj   +1 more source

Topological relations between spherical spatial regions with holes

International Journal of Digital Earth, 2020
There is growing interest in globally modelling the entire planet. Although topological relations between spherical simple regions and topological relations between regions with holes in the plane have been investigated, few studies have focused on the ...
Jingwei Shen, Lan Zhang, Min Chen
doaj   +1 more source

City-scale industrial tank detection using multi-source spatial data fusion

International Journal of Digital Earth
This paper focuses on the automatic detection of industrial storage tanks in urban areas using deep learning-based algorithms. Industrial storage tanks are critical for storing raw materials, finished products, and intermediate products in industries ...
Zhibao Wang, Mingyuan Zhu, Lu Bai, Jinhua Tao, Mei Wang, Xiaoqing He, Anna Jurek-Loughrey, Liangfu Chen   +7 more
doaj   +1 more source

Monitoring reservoir water elevation changes using Jason-2/3 altimetry satellite missions: exploring the capabilities of JASTER (Jason-2/3 Altimetry Stand-Alone Tool for Enhanced Research)

International Journal of Digital Earth
In the absence of in-situ data, satellite radar altimetry, critical for studies requiring water elevation data, faces challenges in outlier removal over reservoirs, influenced by surrounding land.
Natalya Ross, Amirhossein Rostami, Hyongki Lee, Chi-Hung Chang, Faisal Hossain, Pietro Milillo, Tien L. T. Du, Susantha Jayasinghe, Peeranan Towashiraporn   +8 more
doaj   +1 more source