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Xiaoyue Yang, Yi Yang, Shenghua Xu, Jiakuan Han, Zhengyuan Chai and Gang Yang
Geographically weighted regression (GWR) is a classical method for estimating nonstationary relationships. Notwithstanding the great potential of the model for processing geographic data, its large-scale application still faces the challenge of high comp...
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André Melo, Btissam Er-Rahmadi and Jeff Z. Pan
Aligning points of interest (POIs) from heterogeneous geographical data sources is an important task that helps extend map data with information from different datasets. This task poses several challenges, including differences in type hierarchies, label...
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Zebang Liu, Luo Chen, Anran Yang, Mengyu Ma and Jingzhi Cao
In the big data era, rapid visualization of large-scale vector data has become a serious challenge in Geographic Information Science (GIS). To fill the gap, we propose HiIndex, a spatial index that enables real-time and interactive visualization of large...
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Dongchao Wang, Yi Yang, Agen Qiu, Xiaochen Kang, Jiakuan Han and Zhengyuan Chai
Geographically weighted regression (GWR) introduces the distance weighted kernel function to examine the non-stationarity of geographical phenomena and improve the performance of global regression. However, GWR calibration becomes critical when using a s...
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Zeinab Ebrahimpour, Wanggen Wan, José Luis Velázquez García, Ofelia Cervantes and Li Hou
Social media data analytics is the art of extracting valuable hidden insights from vast amounts of semi-structured and unstructured social media data to enable informed and insightful decision-making. Analysis of social media data has been applied for di...
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Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu and Feng Wang
In the development of geographic information-based applications for mobile devices, achieving better access speed and visual effects is the main research aim. In this paper, we propose a new geographic data display method based on Geohash, namely Geohash...
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Kang Zhao, Baoxuan Jin, Hong Fan, Weiwei Song, Sunyu Zhou and Yuanyi Jiang
Overlay analysis is a common task in geographic computing that is widely used in geographic information systems, computer graphics, and computer science. With the breakthroughs in Earth observation technologies, particularly the emergence of high-resolut...
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Mengyu Ma, Ye Wu, Wenze Luo, Luo Chen, Jun Li and Ning Jing
Buffer analysis, a fundamental function in a geographic information system (GIS), identifies areas by the surrounding geographic features within a given distance. Real-time buffer analysis for large-scale spatial data remains a challenging problem since ...
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Raffaele Albano, Caterina Samela, Iulia Craciun, Salvatore Manfreda, Jan Adamowski, Aurelia Sole, Åke Sivertun and Alexandru Ozunu
Large-scale flood risk assessment is essential in supporting national and global policies, emergency operations and land-use management. The present study proposes a cost-efficient method for the large-scale mapping of direct economic flood damage in dat...
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Emanuele Alcaras, Claudio Parente and Andrea Vallario
Coastal and Marine Geographic Information Systems (CMGISs) permit to collect, manage, and analyze a great amount of heterogeneous data concerning coastal, sea, and ocean environments, e.g., nautical charts, topographic maps, remotely sensed images. To in...
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Tetsuya Akamatsu and Kayoko Yamamoto
Japan is exposed to several natural phenomena; the damages caused by earthquakes were enormous in particular. An emergency shelter is a place for people to temporarily live when they cannot remain in their previous homes, and it is necessary for each com...
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Franti?ek Chudý, Martina Slámová, Julián Toma?tík, Roberta Proke?ová and Martin Mokro?
An active gully-related landslide system is located in a deep valley under forest canopy cover. Generally, point clouds from forested areas have a lack of data connectivity, and optical parameters of scanning cameras lead to different densities of point ...
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Salvatore F. Pileggi and Robert Amor
The progressive consolidation of information technologies on a large scale has been facilitating and progressively increasing the production, collection, and diffusion of geographic data, as well as facilitating the integration of a large amount of exter...
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Yuting Chen, Pengjun Zhao, Yi Lin, Yushi Sun, Rui Chen, Ling Yu and Yu Liu
Precise identification of spatial unit functional features in the city is a pre-condition for urban planning and policy-making. However, inferring unknown attributes of urban spatial units from data mining of spatial interaction remains a challenge in ge...
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Zhaolian Xing and Weimin Guo
With large-scale urban demolition, the spatial pattern of the urban area in many cities has been destroyed, leading to the loss of urban regional identity; therefore, these urban spaces need to be urgently studied and protected. Previous studies on the s...
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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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Lei Zhang, Ping Wang, Chengyi Huang, Bo Ai and Wenjun Feng
Terrain rendering is an important issue in Geographic Information Systems and other fields. During large-scale, real-time terrain rendering, complex terrain structure and an increasing amount of data decrease the smoothness of terrain rendering. Existing...
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Gianni Cristian Iannelli and Fabio Dell?Acqua
In order for a risk assessment to deliver sensible results, exposure in the concerned area must be known or at least estimated in a reliable manner. Exposure estimation, though, may be tricky, especially in urban areas, where large-scale surveying is gen...
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Gianni Cristian Iannelli and Fabio Dell?Acqua
In order for a risk assessment to deliver sensible results, exposure in the concerned area must be known or at least estimated in a reliable manner. Exposure estimation, though, may be tricky, especially in urban areas, where large-scale surveying is gen...
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Andreas Allström, Ida Kristoffersson, Yusak Susilo
Pág. 32 - 38
Currently, there is a great need for new methods to collect travel data. Traditional methods have considerable drawbacks and, at the same time, the models used to analyse the transport system require more and more detailed and high-quality data. An alter...
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