A Web and Mobile GIS for Identifying Areas within the Radius Affected by Natural Disasters Based on OpenStreetMap Data

Abstract

In many countries where natural disasters often occur, such as Indonesia, information about the area affected by the disaster is very important. As in the transportation sector, road users must avoid affected areas and roads. To overcome this problem, in this paper we propose a Geographic Information System (GIS) to identify areas affected by natural disasters within a certain radius. We use a web-based and mobile platform to present an open access system. In addition, we utilize OpenStreetMap map data as a source of spatial database that is open, wide-scale, and complete. In the initial stage, polygon-shaped road data will be split in-to shorter line segments and stored in PostGIS Spatial DBMS. Furthermore, this system will automatically detect road segments that included within the radius of a natural disaster event. Displays of road segments affected by disasters will be accessible to users through web and mobile applications. In addition, we also test and evaluate our system in case studies in certain areas in Indonesia.

Geospatial API Architecture with Laravel for Agricultural Land Suitability Detection System

“…Leaflet mendukung penyajian peta secara responsive dimana peta dapat dibuka pada aplikasi berbasis web maupun mobile. Selain itu, Leaflet juga mengizinkan terjadinya interaksi user dengan peta digital [16].…”

Aplikasi Algoritma Dijkstra dalam Penyelesaian Berbagai Masalah

“…jarak terdekat, berupa pertimbangan dalam kondisi kelengkungan permukaan bumi. Memang algoritma yang tepat untuk menyelesaikan permasalahan penentuan rute terdekat dengan mempertimbangkan kelengkungan permukaan bumi adalah salah satunya Algoritma Haversine Formula [15], [16], [17], [18], [19], [20]. Namun, tidak menutup kemungkinan apabila di masa mendatang pengembangan antara Algoritma Dijkstra dengan Algoritma Haversine Formula dapat dilakukan untuk menghasilkan kombinasi yang lebih baik dalam menentukan jarak atau rute terpendek suatu titik yang ada di permukaan bumi.…”

Localization Technique Model of Ships Ad Hoc Network (SANET) Using Geographic's Database and Clustering Analysis

“…It produces visual or data outputs shared on a network or cloud, stored in a database, or displayed on mobile or computer devices. The most widely used data is the spatial data type [28]. The location can be expressed in many different ways, such as latitude and longitude, address, or ZIP code [23].…”