Spatial model of deforestation using Geographic Information System (GIS) and logistic regression in Besitang forest

Abstract

The existence of Besitang forests is under threat of deforestation so that its area continues to decline. Besitang forest is part of the Gunung Leuser National Park. Efforts to prevent deforestation need to be carried out with a proper deforestation policy. As a first step, it is crucial to identify the drivers of deforestation. This study aims to obtain information on the drivers of deforestation in Besitang forests from 2000 to 2016. The method used is to do spatial modeling using GIS and binary logistic regression. The results of the research show that elevation factors, distance from settlements, and distance from oil palm plantations are factors that trigger deforestation that occurs in Besitang forests.

The Economic Value of Forest Environmental Services for Mitigating Human-Wildlife Conflict in the Village Around Management Section of National Park (MNSP) VI Besitang, Gunung Leuser National Park

“…This shows that this number is acceptable for representing the model, where the R square value between 0 and 1 is an acceptable regression value [22]. Moreover, this model passed the Hosmer and Lemeshow test with a significance value of 0.356 (>0.05), indicating that it can explain the data [23] Based on data from table 3, it was discovered that elements like monthly income, community perception of forest protection and conservation, community behavior utilizing forest products, community behavior in forest protection efforts, and community behavior in efforts to improve forest function have an important role in determining the amount to which people are willing to pay for forest services. The value of the variable's odds ratio indicates the probability that the community WTP for forest environmental services; the higher the value, the greater the chance that the community WTP for forest environmental services.…”

Parking Management in Kota Lama Area Medan Using Spatial Analysis

“…This research predominantly applies the Geographic Information System (GIS) program as the basis of analysis, so that the program has been linked to the location of the observed area in the form of coordinates [9].…”

Economic valuation of green open space (GOS) as climate change mitigation

“…The binary logistic regression equation is used to determine what factors influence whether or not respondents are willing to pay for GOS environmental services to mitigate climate change. This approach refers to research [8][9][10][11].…”

“…This means that the resulting logistic regression model is good. This model has also passed the Hosmer and Lemeshow test (sig = 0.958), which means that the model can explain the data [11], so it can be used.…”