Local government has been recognised as an early leader in the development, deployment and innovation in spatial information systems. The introduction of corporate wide spatial data portals within local government was as significant as the release of Google Earth to the wider public. Although these information systems continue to expand and mature, the potential for these local spatial data inf...

In this study, we proposed a stochastic deletion-insertion (SDI) algorithm for constructing large-scale linkage maps. This SDI algorithm was compared with three published approximation approaches, the seriation (SER), neighbor mapping (NM), and unidirectional growth (UG) approaches, on the basis of simulated F(2) data with different population sizes, missing genotype rates, and numbers of marke...

Software process improvement (SPI) is a widely recognized approach that software companies implement to improve quality, productivity, and time-to-market. Assessing and analyzing performance improvements are important SPI activities. However, many SPI managers have found it difficult to develop and implement effective performance measurement programs for SPI, in part because guidelines for cond...

This paper focuses on the deployment of Geographical Information Systems (GIS) and Spatial Data Infrastructures (SDI) within local government in Thai Provinces. GIS has been used extensively within local government and many countries have undertaken SDI initiatives, but these tend to focus at the national level, failing to address the local deployment issues. By their nature as infrastructures,...

The scientific and professional community researching spatial data infrastructures (SDI) has largely developed outside of the electronic government (eGov) discussion podia, yet increasingly refers to basic concepts of eGov. I question however to which extent the axiologies and epistemologies of SDI and eGov are related, and whether there are common grounds and possible missing links between the...

The SDI Supply Chain Builder Product Suite is a high-level simulation toolset that provides solutions to enterprise problems. The product suite contains four specific elements for enterprise modeling: SDI Supply Chain Builder for supply/distribution chains, SDI Plant Builder for multi-stage plants driven by schedules, Extend+Industry for high-speed, high-volume production line modeling, and the...

Spatial data is a key resource for national development. There is a lot of potential locked in spatial data and this potential may be realized by making spatial data readily available for various applications. SDI (Spatial Data Infrastructures) provides a platform for the data users, producers and so on to generate and share spatial data effectively. Though efforts to develop spatial data infra...

The challenge of designing, building, implementing, and maintaining an SDI draws on many different disciplines and requires examination of a large number of factors and issues. It is essential that SDI practitioners understand the significance of human and societal issues as much as technical issues, all of which contribute to the success of SDI developments. Key issues include sustaining a cul...

The SDI Industry®Product Suite is a versatile, high-level simulation toolset for solving problems of whole enterprises. It adds important capabilities to an existing simulation package, Extend™, which provides a robust simulation architecture and a wealth of existing building blocks. The SDI Industry Product Suite contains 5 specific elements for modeling the enterprise: SDI Database for high-s...

When starting the software process improvement (SPI) journey, there are many SPI standards toselect from. Selecting good SPI standards can be a technical problem, from a software engineeringpoint of view, but it can also be a political problem, some standards fitting more with internal politicalagendas than others. As it is well-known that SPI without management commitment can have<...