A. Stewart FotheringhamStochastic Environmental Research & Risk AssessmentHarris P, Brunsdon C, Fotheringham AS: Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor. Stochastic Environmental Research and Risk Assessment 2011, 25:123-138....
For researchers analyzing geographically oriented data, such as neighborhood or county crime rates, a serious threat to validity is the violation of OLS regression assumptions due to the spatial clustering of values for the variables in the analysis. In such circumstances, OLS regression estimates may...
Expanding the dataset to include temporal lag effects or interactions between variables, such as the interplay between urbanization and globalization dimensions, could provide deeper insights. Moreover, refining the club convergence methodology itself by using spatial econometric techniques could give the ...
Future trajectories of agricultural productivity need to incorporate environmental targets, including the reduction of pesticides use. Landscape features supporting natural pest control (LF-NPC) offer a nature-based solution that can serve as a partial s
2015), a Multinomial logistic regression model was hence established. To illustrate more clearly the relationship between two groups of categorical variables, a correspondence analysis was also conducted. Results from the analysis were then used to inform the designed research questions, as shown below...
(2016). The impact of renewable energy consumption to economic growth: A panel data application. Energy Economics, 53, 58–63. Article Google Scholar Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review / ...
Finally, density-based models [13, 35] predict a spatial heatmap of localizations whose sum corresponds to the expected num- ber of objects. These models basically combine the advan- tages of both detection- and regression-based approaches in ...
First, after a detailed exploratory data analysis through spatial dependence tests and a quantile regression model, we apply restriction tests to select the best model to estimate the magnitude and significance of population spillovers through simulations. Second, the findings do indicate the systematic ...
Falsification test includes a regression of grade 6 test scores on class mean distance to the nearest elite school using exactly the same specification and controls as the main regression. Quartiles are constructed using the grade 6 mean score on mathematics and reading of both stayers and ...
Body-awareness is one of the fundamental modules of self-representation. We investigated how body-awareness could contribute to dogs' decision making in a novel spatial problem where multiple solutions are possible. Family dogs (N = 68) had to obta