Study on the analysis of demographic data based on spatial information systems

Author:

Wijaya A P,Nugraha A L,Sukmono A,Firdaus H S

Abstract

Abstract The demography database system should be very useful for various purposes in resolving socio-economic problems, such as the distribution of charity, especially for people affected by the Covid-19 pandemic. But unfortunately, the demography database system in Indonesia still has many problems. Things to consider are that there is no integration between databases at the central and local governments, and there is no synchronization of data between institutions. The next problem is that our demographic database system is not based on spatial information. Therefore, we need a demography database system that is integrated with the spatial information system. This study aims to integrate a demographic database system into a spatial information system. The demographic database system in principle always refers to certain administrative units, such as villages, subdistricts, districts/cities, and the state. The administrative unit can contain information about a geographic perspective, such as elevation, position, topography, etc. As a result, in addition to demographic policies, geographic perspectives can be considered, and the identification of asynchronous data between central and local governments becomes easier. In addition, there are impacts, which need to be considered in transforming tabular to spatial data, such as; scale factor, generalization, and classification.

Publisher

IOP Publishing

Subject

General Engineering

Reference18 articles.

1. Ego Sektoral, Penyebab Belum Terintegrasi Basis Data Kependudukan;Ridwan,2021

2. Quantitative assessment of social vulnerability for landslide disaster risk reduction using gis approach (case study: Cilacap regency, province of central Java, Indonesia);Wijaya;International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives,2018

3. Effectiveness Of Classification Method And Color Symbol Scheme On Choropleth Map Of Population Density In Special Region Of Yogyakarta;Afifah,2019

4. What is a dashboard—ArcGIS Dashboards,2010

5. A data cube design and construction methodology based on OLAP queries;Djiroun,2016

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3