Data models in geographic information systems

Shekhar, Shashi; Coyle, Mark; Goyal, Brajesh; Liu, Duen‐Ren; Sarkar, Shyamsundar

doi:10.1145/248448.248465

Cited by 81 publications

(40 citation statements)

References 3 publications

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“…For example, the hierarchy of classes proposed in the MGeo model [26], later on extended to the MGeo+ model, mixes elements of different levels of abstraction (e.g, it includes classes like GeographicDatabase, Symbol and OrientedLine). A similar problem happens in the basic data schema proposed in the GISER model [24]. The GMOD model [22] supplies quite a complete class diagram.…”

Section: Geoframementioning

confidence: 94%

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Specifying analysis patterns for geographic databases on the basis of a conceptual framework

Filho

Iochpe

1999

Proceedings of the 7th ACM International Symposium on Advances in Geographic Information Systems

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Frameworks and Patterns are important instruments that enable the reuse of successful software solutions in recurrent problems. Geographic information systems, on the other hand, are usually designed by people with only little knowledge of database modeling techniques. Therefore, we believe that analysis patterns and conceptual frameworks can both facilitate and improve geographic database design in many organizations.In order to be used by designers with such a wide variety of backgrounds (e.g., cartographers, biologists, and architects), analysis patterns and conceptual frameworks for geographic database design must rely upon an easy to learn and to use, semantically rich conceptual data model. This paper introduces the GeoFrame, a conceptual framework that serves as a starting point for the conceptual modeling of geographic databases. It relies on an extension of the Unified Modeling Language (UML) that can also be used to define new analysis patterns for geographic applications. In addition, we present an example of an analysis pattern that was extracted out of a database schema which was itself derived from GeoFrame. This pattern can be identified in various urban GIS applications.

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Section: Geoframementioning

confidence: 94%

“…GeoFrame relies on various interesting proposals of GIS specific, conceptual data models [5,12,18,22,24,26]. Each of the proposed models, though, presents limitations that can make the specification of analysis patterns more difficult.…”

Section: Geoframementioning

confidence: 99%

Specifying analysis patterns for geographic databases on the basis of a conceptual framework

Filho

Iochpe

1999

Proceedings of the 7th ACM International Symposium on Advances in Geographic Information Systems

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“…Questionnaire-based human mobility data can be described by topological relationships represented by connectivity, adjacency, and enclosure [30]. The personal profile includes information such as age, sex, marital status, education level, household status, occupation, and monthly household income.…”

Section: Questionnaire Survey Datamentioning

confidence: 99%

“…GPS-based human mobility data can be described by geometrical relationships consisting of the spatial components [30]. Wearable GPS devices such as "i-gotU USB Travel & Sports Logger-GT-600" were used to log human mobility and validate the mobility data obtained from the questionnaire survey.…”

Section: Gps Log Recordsmentioning

confidence: 99%

Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar

Kimijima

Nagai

2017

Sustainability

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Understanding human mobility patterns provides knowledge about impacts of a socio-economic transformation in a rapidly urbanizing environment. This study assesses a long-term mobility data which uses a face-to-face questionnaire and GPS logger-based method of data collection for extracting socio-economic impacts from the rapid transformation. Conversion of mobility related information such as travel distance, direction, and time from the questionnaire survey into spatiotemporal information was carried out by developing an algorithm. To illustrate the proposed approach, a case study in Dawei Special Economic Zone, Myanmar was conducted. The results show that the questionnaire-based mobility data can be associated with GPS-based mobility data and diverse mobility patterns are found for different social groups in the stage of urban formation. The results enabled an understanding of the human dynamics in interactions, which can be used for monitoring rural sustainability and its challenges in the future with the background of the accelerated project development in the area.

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“…Geographic Information Systems (GIS) have been an active field of research during the past decade and many significant research results have been reported [21,18,2,4,20]. In GIS systems, spatial data types are first-class citizens and much work has focused on efficiently answering spatial queries.…”

Section: Introductionmentioning

confidence: 99%

The multi-rule partial sequenced route query

Chen

Sun

et al. 2008

Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

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Trip planning search (TPS) represents an important class of queries in Geographic Information Systems (GIS). In many real-world applications, TPS requests are issued with a number of constraints. Unfortunately, most of these constrained TPS cannot be directly answered by any of the existing algorithms. By formulating each restriction into rules, we propose a novel form of route query, namely the multi-rule partial sequenced route (MRPSR) query. Our work provides a unified framework that also subsumes the well-known trip planning query (TPQ) and the optimal sequenced route (OSR) query. In this paper, we first prove that MRPSR is NP-hard and then present three heuristic algorithms to search for near-optimal solutions for the MRPSR query. Our extensive simulations show that all of the proposed algorithms can answer the MRPSR query effectively and efficiently. Using both real and synthetic datasets, we investigate the performance of our algorithms with the metrics of the route distance and the response time in terms of the percentage of the constrained points of interest (POI) categories. Compared to the LORD-based brute-force solution, the response times of our algorithms are remarkably reduced while the resulting route length is only slightly longer than the shortest route.

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Data models in geographic information systems

Cited by 81 publications

References 3 publications

Specifying analysis patterns for geographic databases on the basis of a conceptual framework

Specifying analysis patterns for geographic databases on the basis of a conceptual framework

Human Mobility Analysis for Extracting Local Interactions under Rapid Socio-Economic Transformation in Dawei, Myanmar

The multi-rule partial sequenced route query

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