Spatial Databases

Samson, Grace; Lu, Joan; Usman, Mistura M.; Xu, Qiang

doi:10.4018/978-1-5225-2058-0.ch003

Cited by 6 publications

(1 citation statement)

References 35 publications

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“…GIS database or geospatial database contain information that display geographical surface that support aspect of space and offer spatial data types in its data model and query language (Grace L. Samson, et al, 2017). GIS database generally possess two elements that are spatial data and non-spatial data.…”

Section: Gis Datasetmentioning

confidence: 99%

Development of Gis Database and Facility Management System: Asset and Space in Ukm

Bahri

Maulud

Rahman

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Facility Management (FM) has becoming a crucial aspect in providing better service to the client/tenant or public as well as to minimize the maintenance cost. Group of buildings bounded by a defined boundary/spatial space such as a college, university, city or even a country have to manage their assets and space systematically with maximum potential/usage and minimum maintenance cost. Incorporating GIS plays innovative and effective role in asset and space FM especially. There are a lot of research and suggestions for it, but implementation is still average and quite new in Malaysia. University Kebangsaan Malaysia (UKM Bangi) has taken initiative to perform such idea with a full scale implementation. Currently, UKM utilizes GIS in nine modules, where one of the main module called SEPADU, an internal use module system for asset and space information system. This paper describes the implementation of integrated GIS solution in information system. Spatial data acquisition, database development and system for FM will be discussed in this paper.

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Section: Gis Datasetmentioning

confidence: 99%

Development of Gis Database and Facility Management System: Asset and Space in Ukm

Bahri

Maulud

Rahman

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Explanation of major determinants of poverty using multivariate statistical approach and spatial technology: a case study on Birbhum district, West Bengal, India

Ghosh¹,

Das²,

Mondal

2022

GeoJournal

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on their eigenvalue viz., agro-climatic factor, infrastructural and educational factors, hydrological factor, demographic factor, and pedological factors. All the p-values of the correlation matrix are < 0.05, meaning all the relationships are valid and significant. This research also demonstrates the spatial analysis of data using GIS technology. The western part of the study area has been affected by the high influence of all factors due to the presence of plateau fringe and associated low productivity. The outcomes of the research are scientifically significant and this study helps the planners, higher authorities, and social workers to eradicate poverty from this region through formulating better policies and management.

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PKT: fast color-based spatial model for human skin detection

Samson

2021

Multimed Tools Appl

Self Cite

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We present a new detection method for color-based object detection, which can improve the performance of learning procedures in terms of speed, accuracy, and efficiency, using spatial inference, and algorithm. We applied the model to human skin detection from an image; however, the method can also work for other machine learning tasks involving image pixels. We propose (1) an improved RGB/HSL human skin color threshold to tackle darker human skin color detection problem. (2), we also present a new rule-based fast algorithm (packed k-dimensional tree --- PKT) that depends on an improved spatial structure for human skin/face detection from colored 2D images. We also implemented a novel packed quad-tree (PQT) to speed up the quad-tree performance in terms of indexing. We compared the proposed system to traditional pixel-by-pixel (PBP)/pixel-wise (PW) operation, and quadtree based procedures. The results show that our proposed spatial structure performs better (with a very low false hit rate, very high precision, and accuracy rate) than most state-of-the-art models.

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Spatial Databases

Cited by 6 publications

References 35 publications

Development of Gis Database and Facility Management System: Asset and Space in Ukm

Development of Gis Database and Facility Management System: Asset and Space in Ukm

Explanation of major determinants of poverty using multivariate statistical approach and spatial technology: a case study on Birbhum district, West Bengal, India

PKT: fast color-based spatial model for human skin detection

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