Ghazali Desa

Towards the implementation of coordinated cadastral system in Malaysia : Large cadastral network adjustments

Malaysian Cadastral System is based on the dimensions of each parcel and its location with respect to adjacent parcels. Realizing the needs of modern GIS and the efficiency of GPS as a positioning tool, there is a move by various countries to convert similar dimensional systems into “coordinate based cadastre”. This paper present the results of a collaborative study between the Universiti Teknologi Malaysia (UTM) and the Department of Survey and Mapping, Malaysia (DSMM), on the implementation of Coordinated Cadastral System(CCS). The study focuses on two major issues: i) the application of GPS technique for control network densification to support the implementation of CCS; and ii) the adjustment of large cadastral network. A great length of analysis of results are presented.

Development of critical successful factors model for spatial data infrastructure implementation

Many professionals think that predesigned solutions could solve the problem regardless the nature, individual attributes and culture of the different countries. Developed countries have huge computing infrastructures which make data handling and sharing through local and global networks easy and mandatory to every user. However, usually developing and undeveloped countries is lack of computing infrastructures. A poor running computer network could be a major problem of not having an effective system to share and handle geospatial data. Therefore a good understanding of the critical successful factors (CSFs) of a given national geospatial data infrastructure (NSDI) is important to improve and obtain effectiveness of the NSDI framework. The main aim of this study is to develop primary CSFs model derived from scientific points of view. Therefore the researchers designed a CSFs model in order to measure SDIs effectiveness. Extensive literature review has been made to establish a primary CSFs model consisting of six main categories and their respective criteria. This primary model was developed using different types of criteria. The developed criteria helped to determine the primary CFSs and they are as follows: high priority CSFs which include organization, coordination and institutional agreements, strategic planning management, communication and computing infrastructure, on-line access service and web mapping, awareness, standards in general, financial support and spatial data availability. Other factors were considered as second priority which include: legal aspect, market demand and needs for service providing, policies, effective mechanism, vision, participants, leadership and political support, new technologies, users satisfaction and users involvement, education, expertise, interoperability, socio-political satiability, culture, economical and living standards, information availability, metadata availability through the internet and data updating. The low priority factors were eliminated.

Spatial-based sustainability assessment of urban neighbourhoods: a case study of Johor Bahru City Council, Malaysia

Rapid population growth has caused expansion of many major cities. Cities begin to expand into new areas as the demand for housing increases, thus, contributing to demand for a variety of natural and man-made resources for urban communities. However, it is our responsibility to sustain these resources so that their usage can be prolonged to the next generation. With sustainability as a goal, the use of indicators for urban monitoring and regulation is becoming more in demand. There are many non-spatial indicators in the form of words and statistics developed by local authorities for assessing urban development sustainability. This chapter proposes the use of spatial indicators for the same purpose. The indicators are derived from the Malaysian Urban Indicators Network (MurniNet) and are then developed using Analytical Hierarchy Process (AHP) comprising spatial elements of points, lines, and polygons. The AHP is used to determine the ranking of sustainability of urban areas. This study selects Johor Bahru City Council (JBCC) administrative area as a case. The result shows that spatial indicators can contribute to a better visualisation of sustainability via the production of sustainability map.