Characterizing Intercity Mobility Patterns for the Greater Bay Area in China
Understanding intercity mobility patterns is important for future urban planning, in which the intensity of intercity mobility indicates the degree of urban integration development.
Yanzhong Yin, Qunyong Wu, Mengmeng Li
doaj +1 more source
Virtual Geographic Simulation of Light Distribution within Three-Dimensional Plant Canopy Models
Virtual geographic environments (VGEs) have been regarded as an important new means of simulating, analyzing, and understanding complex geological processes. Plants and light are major components of the geographic environment.
Liyu Tang +5 more
doaj +1 more source
Underground Land Administration from 2D to 3D: Critical Challenges and Future Research Directions
The development and use of underground space is a necessity for most cities in response to rapid urbanisation. Effective underground land administration is critical for sustainable urban development.
Bahram Saeidian +3 more
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A machine-learning-based hardware-Trojan detection approach for chips in the Internet of Things
With the development of the Internet of Things, smart devices are widely used. Hardware security is one key issue in the security of the Internet of Things.
Chen Dong +3 more
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Clustering spatial transcriptomics data
AbstractMotivationRecent advancements in fluorescence in situ hybridization (FISH) techniques enable them to concurrently obtain information on the location and gene expression of single cells. A key question in the initial analysis of such spatial transcriptomics data is the assignment of cell types.
Haotian Teng, Ye Yuan, Ziv Bar-Joseph
openaire +2 more sources
Evaluating Flood Damages using Land Cover Changes Detection [PDF]
This study presents a monitoring and analysis of land cover changes in exact parts of the Karlovo Region, Bulgaria, with a focus on the catastrophic flood event of September 2022, which displaced hundreds of residents.
P. Raeva +2 more
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With increasing accessibility to geographic information systems (GIS) software, statisticians and data analysts routinely encounter scientific data sets with geocoded locations. This has generated considerable interest in statistical modeling for location-referenced spatial data. In public health, spatial data routinely arise as aggregates over regions,
openaire +4 more sources
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities
We propose a probabilistic model for refining coarse-grained spatial data by utilizing auxiliary spatial data sets. Existing methods require that the spatial granularities of the auxiliary data sets are the same as the desired granularity of target data.
Iwata, Tomoharu +5 more
core +1 more source
TOPOGRAPHIC-GEODETIC AND CARTOGRAPHIC SUPPORT OF THE ARCTIC ZONE OF THE RUSSIAN FEDERATION
A version of the project of the concept of topographic, geodetic and cartographic support of the Arctic zone of the Russian Federation based on the use of modern means and tools is presented, including its content.
M. G. Mustafin +5 more
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Self-Supervised GANs With Similarity Loss for Remote Sensing Image Scene Classification
With the development of supervised deep neural networks, classification performance on existing remote sensing scene datasets has been markedly improved.
Dongen Guo, Ying Xia, Xiaobo Luo
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