Geo-database for poor families to enhance poverty counter efforts : evidence from Jordan

الملخص EN

The main aim of this paper is mainly oriented toward human and social service organizations understanding the importance of geographically enabling information systems (with GIS) to support their core missions taking Al Salt city center as a pilot study area.

GIS can support their business process and workflows.

Previous studies assured that efforts of struggling poverty were lacking of obvious and comprehensive spatial database.

In addition , the need of updating data is critical for this kind of database.

A spatial database shall add more clearness and understandable for agencies, associations and institutions working in this field .On the other hand, geo-database the contradictory happened in poverty efforts alleviation from different agencies may vanished gradually by using the same spatial data base.

Furthermore, the decision making process will be much easier.

Correspondingly , poverty planning could be more efficient.

Academics have made the case that social work needs mapping.

This paper describes how geographic information systems (GIS) fill that prescription by creating a real Geo-database for poor families at Al Salt city center as a pilot study area .The study use a a handled GPS machines and a written questionnaire to collect the spatial and attribute data for 253 poor family at Al Salt city center .These 253 families were recognized from National Aid Fund(NAF) database.

Even NAF have database, this database needs updating and auditing and it lacks of spatial location of poor families which this research tried to fulfill .On the other hand, NAf database is an excel sheet with written addresses of poor families not (X,Y) location easy to reach from NAF employees and any other agencies or individuals try to reach these poor families .

Geo-database also have other capabilities concerning map visualization and thematic maps creation.

GIS is a key component in modernizing the information technology (IT) of many human and social service programs.

The results indicated the possibility to estimate and continually monitor poverty rates by using GIS techniques to support traditional methods of data collection and analysis.