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Spatial
statistics is the application of statistical theory and techniques to
the description and modelling of spatial referenced data. Creascience
can assist you with the collection and analysis of such data.Examples of spatial data are soil or groundwater
contamination locations, climate station data (temperature, rainfall,
etc…), crop yields, housing prices, spatial incidence of certain types
of diseases or any data that is referenced to some x-y coordinate
system. Spatial statistics is very much an applied subject within the field of statistics; its development has been the work of mining engineers, soil scientists, geologists as well as statisticians. There are applications in epidemiology, forestry, atmospheric sciences, hydrology, geophysics, global change research, geography and the social sciences. Geostatistics is a
subset of spatial statistics. In geostatistics, the observations in
some x-y coordinate system are potentially available at any location
within the region of interest, but the data are obtained only for a
sample of such locations. Engineers and environmental scientist
routinely encounter estimation problems when analyzing data from field
observations. For example, measurements of mercury
concentration are sampled from soil locations in a region of western
Quebec. The tools of geostatistics can help in its spatial estimation.
The semivariogram provides description of the spatial dependence and
spatial structure of the observations. Kriging may be used to predict
the mercury concentration at the unsampled sites, from which a contour
map of predicted values is obtained, summarizing the pattern of
variation of mercury. Also assessments may be made of the spatial
uncertainty of the results. Other examples are the spatial description
of hazardous waste sites, risk assessment of ground water contamination
and atmospheric ozone distribution. Individual research assistance can be render in anyone of the following areas: - design of experiment that has a spatial component - advise with spatial techniques and methods - guidance in the data analysis - interpretation of results where space is an essential element - management and report writing - follow-up and editorial assistance. Or
Creascience personnel can conduct the entire experiment from start to
finish depending on the needs and objectives of the client. |
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Spatial
statistics is the application of statistical theory and techniques to
the description and modelling of spatial referenced data. Creascience
can assist you with the collection and analysis of such data.