An Improved Identification Code for City Components Based on Discrete Global Grid System

Qi, Kun; Cheng, Chengqi; Hu, Yi’na; Fang, Huaqiang; Yan, Jun; Chen, Bin

doi:10.3390/ijgi6120381

Cited by 10 publications

(5 citation statements)

References 28 publications

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“…The proposed air traffic highways in this research are constructed by 3D grids. Apart from UAV-related applications, GeoSOT-3D has been extensively investigated in remote sensing data management [ 38 , 39 ], city component identification [ 40 ], trajectory data storage [ 41 ], and urban expansion monitoring [ 42 ].…”

Section: Methodsmentioning

confidence: 99%

A low-altitude public air route network for UAV management constructed by global subdivision grids

et al. 2021

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With an increasing number of unmanned aerial vehicles (UAVs), the difficulty of UAV management becomes more challenging, especially for low-altitude airspace due to complicated issues of security, privacy and flexibility. Existing management approaches to UAV flights include implementing registration of flight activity for supervision purposes, limiting the maximum flight height, setting different zones for different flight activities and prohibiting flights. In this research, we proposed a new air traffic management method for UAVs based on global subdivision theory. We designed four types of low-altitude air routes from grids, which correspond to grid sizes of 1.85 km, 128 m, 64 m and 32 m. Utilization of the subdivision grids transforms the complex spatial computation problem into a query process in the spatial database, which provides a new approach to UAV management in the fifth-generation (5G) era. We compared the number and data size of stored track records using longitude and latitude and different grid levels, computed time consumption for air route trafficability and simulated UAV flight to verify the feasibility of constructing this type of air traffic highway system. The amount of data storage and time consumption for air route trafficability can be substantially reduced by subdivision. For example, the data size using traditional expressions of latitude and longitude is approximately 1.5 times that of using a 21-level grid, and the time consumption by coordinates is approximately 1.5 times that of subdivision grids at level 21. The results of the simulated experiments indicate that in the 5G environment, gridded airspace can effectively improve the efficiency of UAV trajectory planning and reduce the size of information storage in the airspace environment. Therefore, given the increasing number of UAVs in the future, gridded highways have the potential to provide a foundation for various UAV applications.

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Section: Methodsmentioning

confidence: 99%

A low-altitude public air route network for UAV management constructed by global subdivision grids

et al. 2021

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“…Thus, they are not suited for large-scale querying in time and space. As a spatial-partitioning-based index model, the GeoSOT (geographical coordinate subdividing grid with one dimension integer coding on 2 n -tree) has been widely used for spatial data indexing and retrieval [24][25][26][27][28]. The above works proposed means of organizing and retrieving spatial data based on GeoSOT, but they only encode spatial information for the object without encoding its time information.…”

Section: Related Workmentioning

confidence: 99%

GeoSOT-Based Spatiotemporal Index of Massive Trajectory Data

Qian

Cheng

et al. 2019

IJGI

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With the rapid development of global positioning technologies and the pervasiveness of intelligent mobile terminals, trajectory data have shown a sharp growth trend both in terms of data volume and coverage. In recent years, increasing numbers of LBS (location based service) applications have provided us with trajectory data services such as traffic flow statistics and user behavior pattern analyses. However, the storage and query efficiency of massive trajectory data are increasingly creating a bottleneck for these applications, especially for large-scale spatiotemporal query scenarios. To solve this problem, we propose a new spatiotemporal indexing method to improve the query efficiency of massive trajectory data. First, the method extends the GeoSOT spatial partitioning scheme to the time dimension and forms a global space–time subdivision scheme. Second, a novel multilevel spatiotemporal grid index, called the GeoSOT ST-index, was constructed to organize trajectory data hierarchically. Finally, a spatiotemporal range query processing method is proposed based on the index. We implement and evaluate the index in MongoDB. By comparing the range query efficiency and scalability of our index with those of the other two space–time composite indexes, we found that our approach improves query efficiency levels by approximately 40% and has better scalability under different data volumes.

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“…Activity hotspots are found to display scaling patterns in terms of the sublinear scaling relationships between the number of stopping locations and the number of points of interest (POIs), which indicates economies of scale of human interactions with urban land-use-inferred by stopping locations, such as the railway station. Qi et al [62] suggest identification codes for city components based on the discrete global grid system. The locations of city components are identified with one-dimensional integer codes, which outperform traditional codes in data query and geospatial computation.…”

Section: Insights From the Special Issue On Place-based Gismentioning

confidence: 99%

Place versus Space: From Points, Lines and Polygons in GIS to Place-Based Representations Reflecting Language and Culture

Blaschke

Merschdorf

Cabrera-Barona

et al. 2018

IJGI

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Around the globe, Geographic Information Systems (GISs) are well established in the daily workflow of authorities, businesses and non-profit organisations. GIS can effectively handle spatial entities and offer sophisticated analysis and modelling functions to deal with space. Only a small fraction of the literature in Geographic Information Science—or GIScience in short—has advanced the development of place, addressing entities with an ambiguous boundary and relying more on the human or social attributes of a location rather than on crisp geographic boundaries. While the GIScience developments support the establishment of the digital humanities, GISs were never designed to handle subjective or vague data. We, an international group of authors, juxtapose place and space in English language and in several other languages and discuss potential consequences for Geoinformatics and GIScience. In particular, we address the question of whether linguistic and cultural settings play a role in the perception of place. We report on some facts revealed by this multi-language and multi-cultural dialogue, and what particular aspects of place we were able to discern regarding the few languages addressed.

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An Improved Identification Code for City Components Based on Discrete Global Grid System

Cited by 10 publications

References 28 publications

A low-altitude public air route network for UAV management constructed by global subdivision grids

A low-altitude public air route network for UAV management constructed by global subdivision grids

GeoSOT-Based Spatiotemporal Index of Massive Trajectory Data

Place versus Space: From Points, Lines and Polygons in GIS to Place-Based Representations Reflecting Language and Culture

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