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Shaojun Liu, Xiawei Chen, Fengji Zhang, Yiyan Liu and Junlian Ge
With the rapid pace of urbanization, enhancing the quality of life has become an urgent demand for the general public in both developed and developing countries. This study addresses the pressing need to understand the spatial distribution and underlying...
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Martin Breunig, Patrick Erik Bradley, Markus Jahn, Paul Kuper, Nima Mazroob, Norbert Rösch, Mulhim Al-Doori, Emmanuel Stefanakis and Mojgan Jadidi
Without geospatial data management, today?s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city planning cannot be solved. Furthermore, geospatia...
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Su Yeon Han, Ming-Hsiang Tsou, Elijah Knaap, Sergio Rey and Guofeng Cao
Understanding human movements in the face of natural disasters is critical for disaster evacuation planning, management, and relief. Despite the clear need for such work, these studies are rare in the literature due to the lack of available data measurin...
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Supattra Puttinaovarat,Paramate Horkaew
Pág. pp. 137 - 156
Nowadays, natural disasters tend to increase and become more severe. They do affect life and belongings of great numbers of people. One kind of such disasters that hap-pen frequently almost every year is floods in all regions across the world. A prepara-...
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Fei Hu, Mengchao Xu, Jingchao Yang, Yanshou Liang, Kejin Cui, Michael M. Little, Christopher S. Lynnes, Daniel Q. Duffy and Chaowei Yang
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Mihal Miu, Xiaokun Zhang, M. Ali Akber Dewan and Junye Wang
Geospatial information plays an important role in environmental modelling, resource management, business operations, and government policy. However, very little or no commonality between formats of various geospatial data has led to difficulties in utili...
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Mihal Miu, Xiaokun Zhang, M. Ali Akber Dewan and Junye Wang
Geospatial information plays an important role in environmental modelling, resource management, business operations, and government policy. However, very little or no commonality between formats of various geospatial data has led to difficulties in utili...
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Guiming Zhang and Jin Xu
Kernel density estimation (KDE) is a commonly used method for spatial point pattern analysis, but it is computationally demanding when analyzing large datasets. GPU-based parallel computing has been adopted to address such computational challenges. The e...
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Salwa Rizqina Putri, Arie Wahyu Wijayanto and Anjar Dimara Sakti
Poverty data are usually collected through on-the-ground household-based socioeconomic surveys. Unfortunately, data collection with such conventional methods is expensive, laborious, and time-consuming. Additional information that can describe poverty wi...
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Kaihua Hou, Chengqi Cheng, Bo Chen, Chi Zhang, Liesong He, Li Meng and Shuang Li
As the amount of collected spatial information (2D/3D) increases, the real-time processing of these massive data is among the urgent issues that need to be dealt with. Discretizing the physical earth into a digital gridded earth and assigning an integral...
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Jiawei Zhu, Chao Tao, Xin Lin, Jian Peng, Haozhe Huang, Li Chen and Qiongjie Wang
Analyzing the urban spatial structure of a city is a core topic within urban geographical information science that has the ability to assist urban planning, site selection, location recommendation, etc. Among previous studies, comprehending the functiona...
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Gainbi Park
(1) Background: Hurricane events are expected to increase as a consequence of climate change, increasing their intensity and severity. Destructive hurricane activities pose the greatest threat to coastal communities along the U.S. Gulf of Mexico and Atla...
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Quan Xiong, Xiaodong Zhang, Wei Liu, Sijing Ye, Zhenbo Du, Diyou Liu, Dehai Zhu, Zhe Liu and Xiaochuang Yao
Recently, increasing amounts of multi-source geospatial data (raster data of satellites and textual data of meteorological stations) have been generated, which can play a cooperative and important role in many research works. Efficiently storing, organiz...
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Qi Liu, Hidayat Ullah, Wanggen Wan, Zhangyou Peng, Li Hou, Tong Qu and Saqib Ali Haidery
Green areas or parks are the best way to encourage people to take part in physical exercise. Traditional techniques of researching the attractiveness of green parks, such as surveys and questionnaires, are naturally time consuming and expensive, with les...
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Candan Eylül Kilsedar and Maria Antonia Brovelli
The focus of this research is addressing a subset of the geovisualization (i.e., geographic visualization) challenges identified in the literature, namely multidimensional vector and raster geospatial data visualization. Moreover, the work implements an ...
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Conrad M. Albrecht, Rui Zhang, Xiaodong Cui, Marcus Freitag, Hendrik F. Hamann, Levente J. Klein, Ulrich Finkler, Fernando Marianno, Johannes Schmude, Norman Bobroff, Wei Zhang, Carlo Siebenschuh and Siyuan Lu
The growing amount of openly available, meter-scale geospatial vertical aerial imagery and the need of the OpenStreetMap (OSM) project for continuous updates bring the opportunity to use the former to help with the latter, e.g., by leveraging the latest ...
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Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook and Qingfeng Guan
The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in...
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Yun Li, Yongyao Jiang, Justin C. Goldstein, Lewis J. Mcgibbney and Chaowei Yang
One longstanding complication with Earth data discovery involves understanding a user?s search intent from the input query. Most of the geospatial data portals use keyword-based match to search data. Little attention has focused on the spatial and tempor...
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Junghee Jo and Kang-Woo Lee
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Han-Saem Kim, Chang-Guk Sun and Hyung-Ik Cho
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