Components of Spatial Information Management in Wildlife Ecology: Software for Statistical and Modeling Analysis

Spatial Complexity, Informatics, and Wildlife Conservation, 2010, Part II, 245-253

Hawthorne L. Beyer, Jeff Jenness, and Samuel A. Cushman

“Spatial information systems (SIS) is a term that describes a wide diversity of concepts, techniques, and technologies related to the capture, management, display and analysis of spatial information. It encompasses technologies such as geographic information systems (GIS), global positioning systems (GPS), remote sensing, and relational database management systems (RDBMS), which were once relatively independent but increasingly have been merging into cohesive, integrated systems.”

The Impact of Displaced Persons on US Army Conflict and Stability Operations

Spatio-Temporal Constraints on Social Networks Workshop, University of California, Santa Barbara, Center for Spatial Studies, 13-14 December 2010

Susan Enscore

“During periods of conflict and instability in nations, there is often an associated flow of displaced populations. This flow can be confined within national boundaries, or move across them. The spatial extent of displaced population migration may be determined by physical, ethnic, or cultural factors instead of (or in addition to) political ones. In all situations, there will be active social networks among the displaced persons created and maintained by physical proximity and the limits of any available communication technology. There will also be active social networks between the migrants and people remaining in their home area. If the entire home area population has been displaced, there will remain networks between the migrants and relatives or friends in other locations. In addition to serving as a communication medium, these networks can function to transfer remittances and other economic services. They can also provide a system for planning and communicating activities designed to impede “enemy” progress in conflict areas.”

Monitoring Method of Cow Anthrax Based on GIS and Spatial Statistical Analysis

IFIP Advances in Information and Communication Technology, 2010, Volume 317/2010, 21-26

Lin Li, Yong Yang, Hongbin Wang, Jing Dong, Yujun Zhao, Jianbin He and Honggang Fan

“Geographic information system (GIS) is a computer application system, which possesses the ability of manipulating spatial information and has been used in many fields related with the spatial information management. Many methods and models have been established for analyzing animal diseases distribution models and temporal-spatial transmission models. Great benefits have been gained from the application of GIS in animal disease epidemiology. GIS is now a very important tool in animal disease epidemiological research. Spatial analysis function of GIS can be widened and strengthened by using spatial statistical analysis, allowing for the deeper exploration, analysis, manipulation and interpretation of spatial pattern and spatial correlation of the animal disease. In this paper, we analyzed the cow anthrax spatial distribution characteristics in the target district A (due to the secret of epidemic data we call it district A) based on the established GIS of the cow anthrax in this district in combination of spatial statistical analysis and GIS. The Cow anthrax is biogeochemical disease, and its geographical distribution is related closely to the environmental factors of habitats and has some spatial characteristics, and therefore the correct analysis of the spatial distribution of anthrax cow for monitoring and the prevention and control of anthrax has a very important role. However, the application of classic statistical methods in some areas is very difficult because of the pastoral nomadic context. The high mobility of livestock and the lack of enough suitable sampling for the some of the difficulties in monitoring currently make it nearly impossible to apply rigorous random sampling methods. It is thus necessary to develop an alternative sampling method, which could overcome the lack of sampling and meet the requirements for randomness. The GIS computer application software ArcGIS9.1 was used to overcome the lack of data of sampling sites.Using ArcGIS 9.1 and GEODA to analyze the cow anthrax spatial distribution of district A. we gained some conclusions about cow anthrax’ density: (1) there is a spatial clustering model. (2) there is an intensely spatial autocorrelation. We established a prediction model to estimate the anthrax distribution based on the spatial characteristic of the density of cow anthrax. Comparing with the true distribution, the prediction model has a well coincidence and is feasible to the application. The method using a GIS tool facilitates can be implemented significantly in the cow anthrax monitoring and investigation, and the space statistics – related prediction model provides a fundamental use for other study on space-related animal diseases.”