(A) Mean percentage effect of each county from the cubic B-spline model. The map was generated using the ‘maps’ R package (https://cran.r-project.org/package=maps). (B) Comparison of mean location effects in models with differing representations of temperature effects. The dashed red line indicates equality. In both panels, the means of 2,000 block bootstraps are shown. (PNG)</p
Governments and statistical agencies often make available area-level data on a number of topics (mor...
The large pie chart outside the map shows the overall proportion of the production methods for the c...
<p>(A) Plot of PC1 (0.7071*Out−degree+0.7071*Premises density) vs. PC2 (0.7071*Out−degree+0.7071*Pre...
Maps display the mean squared error of parcel-level predictions, by county, for county-level models ...
<p>Map of spatial random effects. Red, orange, and yellow colors indicate areas where unknown, spati...
<p>Regional model estimates of residual total spatial effects for the logit part (left panel) and th...
Datapoints represent locations for model development, parameterisation and application, with colour ...
We evaluate three categories of variables for explaining the spatial pattern of warming and cooling ...
This study examines correlates with aggregate county income growth across the 48 contiguous states f...
We propose the use of Penalized splines ([1]) and individual random effects for the analysis of spat...
This paper is based on the assumption that there may be scale effects at all levels of areal data an...
<p>Model 1 includes the variable for distance roads. Model 2 includes agricultural mosaic habitat in...
<p>(a) Smooth geographical effect (CAR) estimates at district level based on Model 3. (b): Correspon...
<p>Lower left matrix: mean value and standard deviation of correlation amongst the zones. Bold value...
Panel (A) shows the number of complaints per 1,000 population by forward sortation area or FSA (firs...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
The large pie chart outside the map shows the overall proportion of the production methods for the c...
<p>(A) Plot of PC1 (0.7071*Out−degree+0.7071*Premises density) vs. PC2 (0.7071*Out−degree+0.7071*Pre...
Maps display the mean squared error of parcel-level predictions, by county, for county-level models ...
<p>Map of spatial random effects. Red, orange, and yellow colors indicate areas where unknown, spati...
<p>Regional model estimates of residual total spatial effects for the logit part (left panel) and th...
Datapoints represent locations for model development, parameterisation and application, with colour ...
We evaluate three categories of variables for explaining the spatial pattern of warming and cooling ...
This study examines correlates with aggregate county income growth across the 48 contiguous states f...
We propose the use of Penalized splines ([1]) and individual random effects for the analysis of spat...
This paper is based on the assumption that there may be scale effects at all levels of areal data an...
<p>Model 1 includes the variable for distance roads. Model 2 includes agricultural mosaic habitat in...
<p>(a) Smooth geographical effect (CAR) estimates at district level based on Model 3. (b): Correspon...
<p>Lower left matrix: mean value and standard deviation of correlation amongst the zones. Bold value...
Panel (A) shows the number of complaints per 1,000 population by forward sortation area or FSA (firs...
Governments and statistical agencies often make available area-level data on a number of topics (mor...
The large pie chart outside the map shows the overall proportion of the production methods for the c...
<p>(A) Plot of PC1 (0.7071*Out−degree+0.7071*Premises density) vs. PC2 (0.7071*Out−degree+0.7071*Pre...