Thailand National Biodiversity Database System with webMathematica and Google Earth
National Biodiversity Database System (NBIDS) has
been developed for collecting Thai biodiversity data. The goal of this
project is to provide advanced tools for querying, analyzing,
modeling, and visualizing patterns of species distribution for
researchers and scientists. NBIDS data record two types of datasets:
biodiversity data and environmental data. Biodiversity data are
specie presence data and species status. The attributes of biodiversity
data can be further classified into two groups: universal and projectspecific
attributes. Universal attributes are attributes that are common
to all of the records, e.g. X/Y coordinates, year, and collector name.
Project-specific attributes are attributes that are unique to one or a
few projects, e.g., flowering stage. Environmental data include
atmospheric data, hydrology data, soil data, and land cover data
collecting by using GLOBE protocols. We have developed webbased
tools for data entry. Google Earth KML and ArcGIS were used
as tools for map visualization. webMathematica was used for simple
data visualization and also for advanced data analysis and
visualization, e.g., spatial interpolation, and statistical analysis.
NBIDS will be used by park rangers at Khao Nan National Park, and
researchers.
[1] R. M. Chefaoui, J. Hortal, and J. M. Lobo, "Potential distribution
modelling, niche characterization and conservation status assessment
using GIS tools: a case study of Iberian copris species," Biological
Conservation, vol. 122, pp. 327-338, 2005.
[2] M. A. Lane, J. L. Edwards, and E. S. Nielsen, "The Challenge of Rapid
Development, Large Databases and Complex Data," in Proc. 26th Inter.
Conf. Very Large Databases, Cairo, Egypt, 2000.
[3] S. Wolfram, The Mathematica Book 5th ed. Wolfram Media, 2003.
[4] W. Preechaporn, M. Jaroensutasinee, and K. Jaroensutasinee, "Seasonal
Prevalence of Aedes aegypti and Ae. albopictus in Three Topographical
Areas of Southern Thailand". Enformatica Transactions on Engineering,
Computing and Technology, vol. 19, 2007. to be published.
[1] R. M. Chefaoui, J. Hortal, and J. M. Lobo, "Potential distribution
modelling, niche characterization and conservation status assessment
using GIS tools: a case study of Iberian copris species," Biological
Conservation, vol. 122, pp. 327-338, 2005.
[2] M. A. Lane, J. L. Edwards, and E. S. Nielsen, "The Challenge of Rapid
Development, Large Databases and Complex Data," in Proc. 26th Inter.
Conf. Very Large Databases, Cairo, Egypt, 2000.
[3] S. Wolfram, The Mathematica Book 5th ed. Wolfram Media, 2003.
[4] W. Preechaporn, M. Jaroensutasinee, and K. Jaroensutasinee, "Seasonal
Prevalence of Aedes aegypti and Ae. albopictus in Three Topographical
Areas of Southern Thailand". Enformatica Transactions on Engineering,
Computing and Technology, vol. 19, 2007. to be published.
@article{"International Journal of Biological, Life and Agricultural Sciences:59036", author = "W. Katsarapong and W. Srisang and K. Jaroensutasinee and M. Jaroensutasinee", title = "Thailand National Biodiversity Database System with webMathematica and Google Earth", abstract = "National Biodiversity Database System (NBIDS) has
been developed for collecting Thai biodiversity data. The goal of this
project is to provide advanced tools for querying, analyzing,
modeling, and visualizing patterns of species distribution for
researchers and scientists. NBIDS data record two types of datasets:
biodiversity data and environmental data. Biodiversity data are
specie presence data and species status. The attributes of biodiversity
data can be further classified into two groups: universal and projectspecific
attributes. Universal attributes are attributes that are common
to all of the records, e.g. X/Y coordinates, year, and collector name.
Project-specific attributes are attributes that are unique to one or a
few projects, e.g., flowering stage. Environmental data include
atmospheric data, hydrology data, soil data, and land cover data
collecting by using GLOBE protocols. We have developed webbased
tools for data entry. Google Earth KML and ArcGIS were used
as tools for map visualization. webMathematica was used for simple
data visualization and also for advanced data analysis and
visualization, e.g., spatial interpolation, and statistical analysis.
NBIDS will be used by park rangers at Khao Nan National Park, and
researchers.", keywords = "GLOBE protocol, Biodiversity, Database
System, ArcGIS, Google Earth and webMathematica.", volume = "1", number = "9", pages = "111-4", }