A model of geographic information system using graph clustering methods

2017 3rd International Conference on Science in Information Technology (ICSITech) Pub Date : 2017-10-01 DOI:10.1109/ICSITECH.2017.8257208

T. Setiadi, A. Pranolo, Muhammad Aziz, S. Mardiyanto, Bayu Hendrajaya, Munir

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引用次数: 2

Abstract

This research aimed to modeling a geographic information system (GIS) using graph clustering. GIS discuss about spatial data that consists of several objects including points, lines, regions, rectangles, surfaces, volumes, and the all data representation of an object on earth. Graph-based clustering techniques are extremely useful because many real word problem domains have a natural graph representation. This research focused on case GIS for family empowerment post (POSDAYA) which is one of the programs for improving the quality of human beings, especially in achieving the Millennium Development Goals (MDGs) in Indonesia that has a priority on family-based poverty reduction. The results are the GIS framework model that use three components such as graph clustering, layering, and the view of data properties. GIS provided the spatial data and its properties, and graph clustering as a method or algorithm used to make the layers properties and related to each points based on similarities.

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基于图聚类方法的地理信息系统模型

本研究旨在利用图聚类技术建立地理信息系统(GIS)模型。GIS讨论的是由若干对象组成的空间数据，包括点、线、区域、矩形、表面、体积，以及地球上一个对象的所有数据表示。基于图的聚类技术非常有用，因为许多实际的词问题域都有自然的图表示。本研究的重点是家庭赋权岗位(POSDAYA)的案例GIS，这是提高人类质量的项目之一，特别是在印度尼西亚实现以家庭为基础的减贫为优先事项的千年发展目标(MDGs)方面。结果是使用三个组件的GIS框架模型，如图聚类、分层和数据属性视图。GIS提供空间数据及其属性，图聚类作为一种方法或算法，用于根据相似性使层的属性和各点之间的关联。

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2017 3rd International Conference on Science in Information Technology (ICSITech)

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