Hierarchical detailed description for spatial direction relations

Wang, Jing; Jiang, Gangwu; Guo, Rui

doi:10.1007/s11806-007-0165-2

Cited by 2 publications

(3 citation statements)

References 4 publications

(4 reference statements)

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“…The descriptions and representations for direction relations have different levels of detail because of the varying dimensions of spatial objects [12]. To identify the spatial direction of city growth from the CA model and the actual primary year of land use, the study area was divided into eight areas with the Central Business District (CBD) of Hua Hin downtown as the center point from which one can measure the direction of urban mobility.…”

Section: Directions and Trends Of The City Growth Modelmentioning

confidence: 99%

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CA-Markov Analysis of Constrained Coastal Urban Growth Modeling: Hua Hin Seaside City, Thailand

et al. 2013

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Thailand, a developing country in Southeast Asia, is experiencing rapid development, particularly urban growth as a response to the expansion of the tourism industry. Hua Hin city provides an excellent example of an area where urbanization has flourished due to tourism. This study focuses on how the dynamic urban horizontal expansion of the seaside city of Hua Hin is constrained by the coast, thus making sustainability for this popular tourist destination-managing and planning for its local inhabitants, its visitors, and its sites-an issue. The study examines the association of land use type and land use change by integrating Geo-Information technology, a statistic model, and CA-Markov analysis for sustainable land use planning. The study identifies that the land use types and land use changes from the year 1999 to 2008 have changed as a result of increased mobility; this trend, in turn, has everything to do with urban horizontal expansion. The changing sequences of land use type have developed from forest area to agriculture, from agriculture to grassland, then to bare land and built-up areas. Coastal urban growth has, for a decade, been expanding horizontally from a downtown center along the beach to the western area around the golf course, the southern area along the beach, the southwest grassland area, and then the northern area near the airport.

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Section: Directions and Trends Of The City Growth Modelmentioning

confidence: 99%

“…A direction relation is an important spatial relation in GIS [12] for land use planning. Since the analysis is based on the raster model in GIS, the direction of the cell space or the land use state must be defined clearly.…”

Section: Direction From Trending Of the Narrowest Coastal Urban Growthmentioning

confidence: 99%

CA-Markov Analysis of Constrained Coastal Urban Growth Modeling: Hua Hin Seaside City, Thailand

et al. 2013

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“…In addition, most of the current studies mainly focus on this problem in 2D space for computing the inverse of cardinal direction relations [34][35][36][37], and the research on reasoning with direction relations in 3D space is lagging behind. Wang et al [38] studied the inverse operation of basic rectangle cardinal direction relations defined by 3DR27 model by means of 3D algebra theory.…”

Section: Related Workmentioning

confidence: 99%

Reasoning with the Inverse of 3D Cardinal Direction Relations Based on Direction Matrices

Wang,

Dong,

Gao

et al. 2024

Preprint

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In order to improve the ability of intelligent reasoning and prediction of 3DR27 model which presented in our previous work, enhance the usability of 3DR27 model, and better fulfill the demands of real applications for complex 3D spatial database, we focused on the problem of inversing 3D cardinal direction relations between spatial objects. In order to realize automated reasoning, an algorithm for computing the inverse of 3D cardinal direction relations based on matrices is proposed on the basis of the mapping between the 3D rectangular cardinal direction relations and 3D interval relation matrix. This algorithm improves the power of reasoning for this model by means of the excellent properties of matrix operations. Theorems are provided to prove formally that our algorithm is correct and complete. This study realized the automatic inference and calculation of the inverse of the 3D cardinal direction relations based on 3DR27 model and further improved the ability of spatial reasoning and spatial analysis of spatial database.

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Hierarchical detailed description for spatial direction relations

Cited by 2 publications

References 4 publications

CA-Markov Analysis of Constrained Coastal Urban Growth Modeling: Hua Hin Seaside City, Thailand

CA-Markov Analysis of Constrained Coastal Urban Growth Modeling: Hua Hin Seaside City, Thailand

Reasoning with the Inverse of 3D Cardinal Direction Relations Based on Direction Matrices

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