Abstract:

GIS is one of the important sciences in these years. This highlights the importance of spatial factor in decision making in real estate. The purpose of this study is to use GIS to find house to rent simply by applying inquires and to find satisfaction locations. This study focuses on the rent prices in Abu-Dhabi Island. By using web-page browsing, it will help to choose a house that has the biggest weight and ranked the entire selections form most likely match to lowest match. So the user can see the report and select the optimal case that matches their needs. A list of selected range price will be shown to the user to select. A map with colored symbols according to the prices will be generated, and also it shows the targeted buildings that match the user needs. Then the user can choose and judge for the most advantageous case for them. The user can search by price, buildings name, apartment size and number of rooms. This project is one of the GIS applications that could help people in searching for new apartment to live in. For other people such as brokers, they could promote their buildings in the system.

ABSTRACT
Housing in Potsdam varies from flats in redeveloped prefabricated high-rise buildings to apartments in historical townhouses to condominiums in Germany’s first gated community. Increasing demographic development and a stagnant public housing sector generate potential for spatial conflicts. For the time being in-depth GIS-based spatial analysis of the housing market lacks. This article analyses spatial trends and distribution patterns of the Potsdam housing market, using geostatistical methods implemented in free opensource geographic information systems (FOS GIS). To assemble a spatially differentiated picture of the housing market, methods such as spatial interpolation techniques and spatial declustering are applied. The analysis presented here is based on a representative sample of recent housing market data from 2009. The study provides a basis for discussion of a generic approach to housing market analysis based on free opensource geoinformation systems.

1. Einführung
Das Projekt „Regionalisierte Wohnungsmarktbeobachtung“ (ReWoB) des Bauforums Rheinland-Pfalz beinhaltet die Realisierung eines Online-Informationssystems zur regionenbezogenen Beschreibung und Analyse des Wohnungsmarktes in Rheinland-Pfalz (RLP) und angrenzender Gebiete.