Authors:Salifu; Eliasu, Agyare, Wilson Agyei, Kyei-Baffour, Nicholas, Dumedah, Gift Pages: 1 - 19 Abstract: Soil erosion is a global problem with severe consequences, which has become a widespread environmental challenge in the northern parts of Ghana in recent times. This research integrated RUSLE into GIS to estimate the annual soil erosion rates for the Northern, North-East, and Savannah Regions of Ghana. A soil erosion map was generated with an annual soil erosion rate of 4.0 t ha−1y−1 for the Northern Region, 5.0 t ha−1y−1 for the North-East Region, and 7.0 t ha−1y−1 for the Savannah Region. Relatively higher erosion rates were observed in the Tatale Sangule and Kpandai districts of the Northern Region, with rainfall erosivity being the main driving factor. There was a landuse/cover erosion reduction effect of 66% in the Northern Region, 70% in the Northeast Region, and 58% in the Savannah Region. The cover management (C) factor was overwhelmingly the main erosion-reducing factor in erosion control as opposed to land conservation (P) factor. Keywords: Environmental Science and Technologies; Environment & Agriculture; Geoinformatics Citation: International Journal of Applied Geospatial Research (IJAGR), Volume: 12, Issue: 2 (2021) Pages: 1-19 PubDate: 2021-04-01T04:00:00Z DOI: 10.4018/IJAGR.2021040101 Issue No:Vol. 12, No. 2 (2021)
Authors:Perry; Nathan, Casey, Tim, Parece, Tammy E., Castaneda, Cory Pages: 20 - 38 Abstract: This paper investigates the impact that proximity to natural amenities has on improving home values in Mesa County, Colorado. Controlling for standard home characteristics, the study investigates the value to homes of the proximity to trails, the Colorado National Monument, Bureau of Land Management Land, golf courses, the Colorado/Gunnison River, open space, and public parks, using ordinary least squares, fixed effects (controlling for time and zip codes), and a spatial error model. GIS is used to determine distances for the spatial econometric model. Each amenity is evaluated at 250, 500, and 1000 meters. The results show that homes located within 250 meters of a trail sell for 4.45% more, homes located within 500 meters of BLM land sell for 9.07% more, homes located within 250 meters of a golf course sell for 12.70% more, and homes located within 250 meters of the Colorado National Monument sell for 12.90% more. Keywords: Environmental Science and Technologies; Environment & Agriculture; Geoinformatics Citation: International Journal of Applied Geospatial Research (IJAGR), Volume: 12, Issue: 2 (2021) Pages: 20-38 PubDate: 2021-04-01T04:00:00Z DOI: 10.4018/IJAGR.2021040102 Issue No:Vol. 12, No. 2 (2021)
Authors:Medina; Richard M., Nicolosi, Emily A., Brewer, Simon, Moore, Erin Pages: 39 - 56 Abstract: Criminal activities motivated by hate are the most extreme form of bias against people. While hating a class of people and organizing in hate groups to express feelings against those people are not illegal, hate crimes, violent and non-violent, are illegal. However, there remains much to be learned about geographic patterns of hate crimes and facilitating environments. This exploratory research examines hate crime occurrences aggregated to counties in the conterminous United States and attempts to explain resulting patterns using socioeconomic and ideological correlates with traditional and spatial statistics. Geographical patterns of hate crimes in the Unites States are found to be a complicated phenomenon. Keywords: Environmental Science and Technologies; Environment & Agriculture; Geoinformatics Citation: International Journal of Applied Geospatial Research (IJAGR), Volume: 12, Issue: 2 (2021) Pages: 39-56 PubDate: 2021-04-01T04:00:00Z DOI: 10.4018/IJAGR.2021040103 Issue No:Vol. 12, No. 2 (2021)
Authors:Samarin; Mikhail, Sharma, Madhuri Pages: 57 - 75 Abstract: This paper examines the relationships between crime-types and property values in the community areas of Chicago. Using a variety of unconventional web-based data sources, the authors use correlations, mapping, and regression analyses to find that while crime generally associates negatively with property values, not all crime-types have similar effects. Lower incidence of violent crimes and sex offenders in neighborhoods can have pronounced positive impacts on property values whereas certain types of property crimes gravitate toward neighborhoods with expensive homes. Further, crime rates may be similar or even higher than those in cheaper/disadvantaged areas. These types of offenses do not necessarily follow the price-dropping effect like other crime-types do on housing values. However, property crimes such as thefts do not follow this trend. They, thus, recommend that property crime alone should not be a factor when making decisions concerning home buying and/or where to live. Keywords: Environmental Science and Technologies; Environment & Agriculture; Geoinformatics Citation: International Journal of Applied Geospatial Research (IJAGR), Volume: 12, Issue: 2 (2021) Pages: 57-75 PubDate: 2021-04-01T04:00:00Z DOI: 10.4018/IJAGR.2021040104 Issue No:Vol. 12, No. 2 (2021)