Theory of Spatial Data Modeling

2006 ◽  
pp. 97-117
Keyword(s):  
Spatial Data ◽  
Data Modeling

Integrated 3D Spatial Data Model of Object-Oriented Digital Landslide

2012 ◽  
Vol 204-208 ◽  
pp. 4872-4877
Author(s):  
Da Xi Ma ◽  
Xiao Hong Liu ◽  
Li Wei Ma
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Data Modeling ◽  
Object Oriented ◽  
Landslide Modeling ◽  
Space Data ◽  
Spatial Data Model ◽  
Three Dimensional Space

By analyzing the attributes of three-dimensional space data model, the integrated 3D spatial data adopts object-oriented method for digital landslide modeling. It achieves spatial data modeling for landslide geological entity. An experimental case is given to indicate the feasibility of this approach for spatial data modeling.

Identifying Potential Zones of Crime Commitment against Tourists in a Park: Conceptual and Logical Spatial Data Modeling

2014 ◽  
Vol 3 (9) ◽  
pp. 114-123
Author(s):  
Mozhdeh Shahbazi
Keyword(s):  
Spatial Data ◽  
Data Modeling ◽  
Research Topic ◽  
Point Of View ◽  
Complex Nature ◽  
Crime Mapping ◽  
Spatial Point ◽  
Suitability Maps ◽  
Gis Software

Location is considered as an important element in studying tourism security. Therefore, mapping crime hotspots has recently been an interesting research topic in tourism development. In order to identify crime patterns and hotspots, it is essential to create a database containing the required spatial data. It should also be integrated with additional qualitative/quantitative attributes affecting criminal actions. Designing a geographic information system (GIS) can be considered as the most efficient way to deal with this problem considering the complex nature of tourism security. This paper presents the theoretical scheme of spatial data modeling with the purpose of indentifying potential crime zones within a developed park. From the spatial point of view, the factors and the constraints, which make a location vulnerable, are defined. The entities are identified by their attributes and characterized by their relationships. Finally, the conceptual and the logical models to create the crime suitability maps are generated. The models provided in this paper are designed in an explicit way; therefore, they can be easily modified or generalized for any specific case study. The presented data modeling procedure can be applied to generate essential databases for crime mapping via any GIS software.

scholarly journals Representation of Spatial Data Modeling Results Measles Diseases, Case Study in East Java Province

2020 ◽  
Vol 6 (1) ◽  
pp. 14
Author(s):  
Anik Vega Vitianingsih ◽  
Achmad Choiron ◽  
Dwi Cahyono ◽  
Suyanto Suyanto
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Child Death ◽  
Data Modeling ◽  
Immunization Coverage ◽  
Data Series ◽  
Literature Study ◽  
Immunization Status ◽  
Modeling Process ◽  
Simple Additive Weighting

Background of the study: Measles is a major cause of child death caused by a lack of immunization when a child is a baby.Purpose: The discussion in this paper aims to describe the results of the analysis of the spatial data modeling of measles, knowing the percentage distribution of measles-prone areas, each district based on coverage on immunization status with good, average, fair and poor classification categories. The classification results include areas with good, average, fair, and poor immunization coverage status categories.Method: The method used i.e. with to requirement gathering information data from the East Java health profile book in 2011-2016 for the measles attribute, a literature study to describe the parameter requirements based on the coverage of immunization status (infant immunization status, PD3I, epidemic, and nutritional status), and selection of artificial intelligent (AI) system methods that are in accordance with data behavior for the spatial data modeling process in the formulation of alternative preference values with a decision-making system that involves multi-criteria parameters (multiple attributes decision-making/MADM) with Simple Additive Weighting (SAW) method.Findings: The alternative preference value Vi in the spatial data modeling process with the SAW method can be used as a mathematical model for the same data series behavior.Conclusion: The results of the representation in the modeling of spatial data and this attribute data can be used as a reference for planning in the development of health care centers in areas with poor immunization status categories.

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