Page 175 - AJWEP-22-4

Land suitability for coffee Abaya and Gelana

Figure 8. Constraint maps of Abaya (upper) and Gelana Districts (lower) with river buffer zones

Table 13 indicates a statistically significant correlation correlations between the observed variables. These
at 5%, with a Pearson Chi-square value of 49.075 with two tests reject the null hypothesis of independence,
8 degrees of freedom and a p-value of 0.0336. This confirming that land attributes systematically influence
implies that the categories of land suitability factors coffee suitability rather than being randomly correlated.
3
(slope, rainfall, temperature, elevation, and soil type) Although relationships between variables exist, they are
have significant variations in their effects on the not strictly linear, as displayed by the non-significant
potential for coffee production in the two districts. p-value of 0.477 and the linear-by-linear association
13
Similarly, a p-value of 0.0328 and a likelihood ratio value of 0.505, indicating no strong linear trend between
test value of 9.173 further confirm the significant the ordinal variables.

Volume 22 Issue 4 (2025) 167 doi: 10.36922/AJWEP025190143