INTRODUCTION The development of numerical-spatial routines is frequently required to solve complex community health problems. Community health assessment (CHA) professionals who use information technology need a complete system that is capable of supporting the development of numerical-spatial routines. BACKGROUND Currently, there is no decision support system (DSS) that is effectively able t...

Locating usable spatial data is essential for the application and use of Geographic Information Systems (GIS). GIS data collection development constitutes a core element of GIS services within academic libraries. Managers of geospatial resources require a fundamental understanding of the nature and use of GIS data. In the creation of a GIS collection development policy, library professionals sh...

All kind of data is the important component of a GIS studies. The data which will be used for GIS works is mostly provided from an digitized maps, existing paper maps, areal photos or satellites images. Nowadays the data from GPS can be used to make plans and maps of the studied area and the GPS data can be converted into the GIS environment more easily. GIS and GPS integration systems have som...

BACKGROUND Data analysis in community health assessment (CHA) involves the collection, integration, and analysis of large numerical and spatial data sets in order to identify health priorities. Geographic Information Systems (GIS) enable for management and analysis using spatial data, but have limitations in performing analysis of numerical data because of its traditional database architecture....

Spatial analysis is a fundamental function for geographic information systems. Although it is popular in many commercial desktop GIS packages, this capability is very limited in a Web-GIS environment, especially when relational database is used for geospatial data management. This paper proposes and prototypes a methodology to enhance spatial analysis capabilities of Web-GIS by extending and en...

Geographic information systems (GIS) represent more than a tool for spatial data handling. Qualitative and mixed-methods approaches with GIS value the suite of spatial methods and technologies, while typically showing a marked sensitivity toward issues of subjectivity, knowledge-production, exclusion, reflexivity, and power relations. And although recent research in the use of qualitative GIS d...

This review paper is based on an observation that there exists a ‘generation gap’ between the quantitative and GIS revolutions, even though paradigmatic homology of spatial science is often presumed and cross-fertilization is straightforwardly promised. It is argued that each revolution needs to be edified to establish an integrative, sustainable research framework: SDA needs to become more acc...

Figure 5: Data modeling from the real world to a database, and from there to digital cartographic models and analogue products for visualization.. Figure 20: Sample (a) region, (b) its binary array, (c) its maximal blocks, and (d) the corresponding quadtree (after SAMET 1990a). IX he first textbook on GIS was published in 1986. Today, we can find dozens of books dealing with GIS. Yet, it is dif...

The national spatial data infrastructure (NSDI) and GIS maturity of user organisations are mutually dependent. Only when the GIS maturity of user organisations is at a high level can they direct their needs to the development of an NSDI and the benefits of the NSDI come true to their full extent. To raise their GIS maturity to a level where user organisations can both utilise spatial data compr...

ÐAn important trend of current GIS development is to provide easy and effective access to spatial analysis functionalities for supporting decision making based on geo-referenced data. Within the framework of the ongoing SQL standards for spatial extensions, a spatial query language, called SQL/SDA, has been designed to meet such a requirement. Since the language needs to incorporate the importa...