Statistical Test Accuracy Assessment

Figure 4.21 Habitat Suitability Map

4.3. Statistical Test

The statistical test conducted to assess fit and relative strength of the selected model. We used the Hosmer and Lemeshow goodness of fit test and Nagelkerke’s rescaled R 2 respectively. The Hosmer and Lemeshow goodness of fit test is use to test whether the observation data can represent or fit with logistic regression model. If the significant value more than 0.05 than the model will be considered fit with observation data. In this research the result of significant value is 0.942 0.05 which mean this model can representing observation data. The other test is using Nagelkerke R 2 test. This test explains the influence of each parameter in predicting the habitat suitability model. From the result, Nagelkerke R 2 scored 0.763 which mean this model can explain that the parameter combination above can influence 76.3 in predicting suitable habitat for Anoa. While the rest 23.7 was explain by other parameter that not inputted into model.

4.4. Accuracy Assessment

We use accuracy assessment in order to get information about this model representation in other area. We are selecting 1,149 Ha from 2,300 Ha research areas as accuracy assessment area. Accuracy assessments were conducted by implementing the model into accuracy assessment area and developing the suitability habitat for Anoa. Sampling area and accuracy assessment area were randomly generated from overall research area. Accuracy assessment classified 968 grid observations from 1,039 absence grid area, or 93.64 correctly classified, as not suitable habitat for Anoa and classified 103 grids from 110 grids as presence classified or suitable habitat for Anoa or 93.17 from total presence area in sampling grid. Overall classification accuracy resulted 93.21 from total accuracy assessment area were correctly classified. Overall accuracy assessment result indicate this model have high accuracy in predicting suitable habitat of Anoa and considered can represent overall parameter in predicting Anoa habitat suitability.

4.5. Vegetation Analysis