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...

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...

The system dynamics technique has been demonstrated to be a proper method by which to model and simulate the development of spatial data infrastructures (SDI). An SDI is a collaborative effort to manage and share spatial data at different political and administrative levels. It is comprised of various dynamically interacting quantitative and qualitative (linguistic) variables. To incorporate li...

This paper discusses the challenges that are imposed by the Big Data Science on the modern and future Scientific Data Infrastructure (SDI). The paper refers to different scientific communities to define requirements on data management, access control and security. The paper introduces the Scientific Data Lifecycle Management (SDLM) model that includes all the major stages and reflects specifics...

Sustainable development requires the resolution of many spatial decision problems in regard to managing the rights, restrictions and responsibilities between people and land. Most spatial decision problems are multicriteria in nature, involving economic, social, environmental and political dimensions and competing values. However, the process of multicriteria decision-making is not well establi...