Cartographic Encounters at the Bureau of Indian Affairs Geographic Information System Center of Calculation

2012 ◽  
Vol 36 (2) ◽  
pp. 75-102 ◽  
Author(s):  
Mark Palmer

The centering processes of geographic information system (GIS) development at the United States Bureau of Indian Affairs (BIA) was an extension of past cartographic encounters with American Indians through the central control of geospatial technologies, uneven development of geographic information resources, and extension of technically dependent clientele. Cartographic encounters included the historical exchanges of geographic information between indigenous people and non-Indians in North America. Scientists and technicians accumulated geographic information at the center of calculation where scientific maps, models, and simulations emerged. A study of GIS development at the United States Bureau of Indian Affairs will demonstrate some centering processes.

Author(s):  
Jaehyeong Cho ◽  
Seng Chan You ◽  
Seongwon Lee ◽  
DongSu Park ◽  
Bumhee Park ◽  
...  

Background: Spatial epidemiology is used to evaluate geographical variations and disparities in health outcomes; however, constructing geographic statistical models requires a labor-intensive process that limits the overall utility. We developed an open-source software for spatial epidemiological analysis and demonstrated its applicability and quality. Methods: Based on standardized geocode and observational health data, the Application of Epidemiological Geographic Information System (AEGIS) provides two spatial analysis methods: disease mapping and detecting clustered medical conditions and outcomes. The AEGIS assesses the geographical distribution of incidences and health outcomes in Korea and the United States, specifically incidence of cancers and their mortality rates, endemic malarial areas, and heart diseases (only the United States). Results: The AEGIS-generated spatial distribution of incident cancer in Korea was consistent with previous reports. The incidence of liver cancer in women with the highest Moran’s I (0.44; p < 0.001) was 17.4 (10.3–26.9). The malarial endemic cluster was identified in Paju-si, Korea (p < 0.001). When the AEGIS was applied to the database of the United States, a heart disease cluster was appropriately identified (p < 0.001). Conclusions: As an open-source, cross-country, spatial analytics solution, AEGIS may globally assess the differences in geographical distribution of health outcomes through the use of standardized geocode and observational health databases.


Forests ◽  
2016 ◽  
Vol 7 (12) ◽  
pp. 304 ◽  
Author(s):  
Krista Merry ◽  
Pete Bettinger ◽  
Donald Grebner ◽  
Kevin Boston ◽  
Jacek Siry

Author(s):  
Khadijeh Rouzbehani ◽  
Shirin Rouzbehani

Feminist geography and geographic information system(GIS) have been the most dynamic research areas over the last decade. Unfortunately, high breast cancer mortality rates have been reported in the northern part of the United states, with recent attention focused on the northern part of the United States. In this article, the authors investigate whether such a high rate of breast cancer is evenly spread in northern parts. The purpose of this article is to provide a more detailed analysis of the breast cancer distribution in the United States by comparing the spatial distribution of breast cancer cases against physical environmental factors using Geographic Information System (GIS). Further, it gives background information to the GIS and its applications in health-related research.


Author(s):  
Khadijeh Rouzbehani ◽  
Shirin Rouzbehani

Feminist geography and geographic information system(GIS) have been the most dynamic research areas over the last decade. Unfortunately, high breast cancer mortality rates have been reported in the northern part of the United states, with recent attention focused on the northern part of the United States. In this article, the authors investigate whether such a high rate of breast cancer is evenly spread in northern parts. The purpose of this article is to provide a more detailed analysis of the breast cancer distribution in the United States by comparing the spatial distribution of breast cancer cases against physical environmental factors using Geographic Information System (GIS). Further, it gives background information to the GIS and its applications in health-related research.


Author(s):  
Akram Gasmelseed ◽  
Ali H. Alharbi

Breast cancer is a public health problem among women in the United States. According to the American Cancer Society, about 40,290 women in the United States are expected to die in 2015 from breast cancer. This chapter contains an analysis of the breast cancer distribution in the United States by comparing the spatial distribution of breast cancer cases against physical environmental factors using Geographic Information System (GIS). Results show that the exposure to some spatial environmental factors seems likely to have a major impact on the overall trends in breast cancer rates. Moreover, the possibility to develop cancer is existing naturally through the environment factors.


Author(s):  
Akram Gasmelseed ◽  
Ali H. Alharbi

Breast cancer is a public health problem among women in the United States. According to the American Cancer Society, about 40,290 women in the United States are expected to die in 2015 from breast cancer. This chapter contains an analysis of the breast cancer distribution in the United States by comparing the spatial distribution of breast cancer cases against physical environmental factors using geographic information system (GIS). Results show that the exposure to some spatial environmental factors seems likely to have a major impact on the overall trends in breast cancer rates. Moreover, the possibility to develop cancer is existing naturally through the environment factors.


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