Spatial Data Acquisition
Title of Lecture: Spatial data acquisition and system modeling: notes from the field and the lab.Department of Lecture: Earth SciencesDate and Time of Lecture: January 13th, 2000 at 4:30pm The primary purpose of the project is to use model simulations to forecast spatial patterns among various species in the environment. By comparing current situations with test results, Graniero hopes to have the ability to predict spatial patterns for species in the environment. This will give environmentalists and scientists alike the ability to prevent specie disaster and to study such areas as future habitat.Description of Research/Technology used: Graniero's first step involved measuring the earth's topography, under the bedrock of the surface. This experiment took place in Newfoundland,
The model he used was known as Cellular Automation (CA). This model is often referred to as a "virtual lab". The model worked in specific steps. Allowing scientists to predict the habitat and density of species in given areas with such models keeps humans aware of the impact they may have. Adjusting the variables in the model can allow scientists to measure such activities as the population density of a species. Fourth, the model information was compared to the behaviour of actual systems. These schemes were tested at a density of 40 points per hectare. To do this he took a random sampling scheme. The models properties were as follows: a finite set of discrete states and a state transition rule where the next state is determined by; current cell state, states of the nearest neighbours, and the state of other layers. These grids were then used to study the spatial patterns of various species. Fifth, the model was repeated with random initial conditions. Conclusion:This information is very valuable to environmentalists and society in general due to the fact that it "looks-out" for species that may be in danger and monitors the move from one territory to another over a given time frame. Through the experiment there were three experiment sets.
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Acceptance Essays
