Table 1.
Descriptive statistics of the variables.
Table 2.
Sources of data used in the analysis.
Fig 1.
Suitability maps for agricultural development (warm colors represent the least suitability classes whereas cool colors represent the highest suitability).
Table 3.
Composition of geo-sampling method layers.
Fig 2.
The study area.
Fig 3.
Scatter plot matrix showing the relationships between the variables (for the explanation of variables, please refer to Table 1).
Fig 4.
Flowchart for the spatial data development, multiple regression and model validation analysis.
Table 4.
Results of the global models estimated for the sample of Bursa settlements.
Fig 5.
Relationships between observed and fitted values estimated with multivariate regression models for the sub-districts of Bursa.
Table 5.
Findings from model validation analysis.
Table 6.
Results from spatial autocorrelation statistics.
Fig 6.
Deviation of predicted values from observed values across different models estimated for Bursa settlements (a) Model 2 (b) Model 4.
Fig 7.
The observed relationship between population and agricultural production in Bursa and Gemlik.
Fig 8.
The observed relationship between population and agricultural land area in Bursa and Gemlik.
Fig 9.
Model 4 findings on predicted and observed values of the agricultural land area (ha) in Bursa settlements.
Table 7.
Summary statistics of estimated and observed agricultural land area (in ha) from Model 4.
Fig 10.
Model 3 findings on predicted and observed values of the agricultural production (tonne) in Bursa settlements.
Fig 11.
Distribution of average yield (tonne/ha) of predicted and observed values.
Table 8.
Summary statistics of estimated and observed agricultural production (in tonne) from Model 2.
Table 9.
Details of estimates of agricultural land area, production and yield in selected settlements of Bursa Region.