overlay are some operations that were discussed. Under measure the distance and length measurements were discussed as well as slope and aspects. Finally under the subject of spatial interpolation Theissen polygons, inverse-distance weighting and kriging were elaborated on. To conclude, spatial data analysis and just data analysis in general is an ever evolving in GIS due to the increasing complexity of interrogation queries demands by used and the objective to meet these needs (Heywood et al. 2006)
values by averaging the values of sample data points in the vicinity of each cell. The closer a point is to the center of the cell being estimated, the more influence it has in the averaging process (ESRI, 2001). c) Kriging Kriging is a geostatistical method for spatial interpolation. Kriging has the ability to assess the quality of prediction with estimated prediction errors.
“What is GIS?” Geographic information science (GIS) is a multidisciplinary field, which is flourished over past three decades [1]. As a scientific discipline, GIS helps the process of understanding spatial issues. It is used to record, manage, integrate, manipulate, analyze, and present the geographic information [1,2]. Taking advantage of these powerful functions, GIS has been widely used in various fields [3]. “System or Science?” In the early 1960s, the geographer Roger Tomlinson, the “father
Personal Statement My current enrollment to Florida International University’s (FIU) MS in Environmental Studies program proves my interest in the field of “Natural Resource Science and Management”. Coming from Bangladesh, a country that is highly vulnerable to the impacts of climate change, I observed the importance of holistic natural resources management and its complex social dimension. My involvement with different development organizations including United Nations provided hands-on experiences