Bandwidth determination for kernel density analysis of wildfire events at forest sub-district scale

Date

2011-09-10

Author

KUTER, SEMİH
Usul, Nurunnisa
KUTER, NAZAN

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

103
views

0
downloads

Forest fire is regarded as one of the most significant factors leading to land degradation. While evaluating fire hazard or producing fire risk zone maps, quantitative analyses using historic fire data is often required, and during all these modeling and multi-criteria analysis processes, the fire event itself is taken as the dependent variable. However, there are two main problematic issues in analyzing historic fire data. The first difficulty arises from the fact that it is in point format, whereas a continuous surface is frequently needed for statistically analyzing the relationship of fire events with other factors, such as anthropogenic, topographic and climatic conditions. Another, and probably the most bothersome challenge is to overcome inaccuracy inherent in historic fire data in point format, since the exact coordinates of ignition points are mostly unknown. In this study, kernel density mapping, a widely used method for converting discrete point data into a continuous raster surface, was used to map the historic fire data in Mumcular Forest Sub-district in Mugla, Turkey. The historic fire data was transferred onto the digital forest stand map of the study area, where the exact locations of ignition points are unknown; however, the exact number of ignition points in each compartment of the forest stand map is known. Different random distributions of ignition points were produced, and for each random distribution, kernel density maps were produced by applying two distinct kernel functions with several smoothing parameter options. The obtained maps were compared through correlation analysis in order to illustrate the effect of randomness, choice of kernel function and smoothing parameter. The proposed method gives a range of values rather than a single bandwidth value: however, it provides a more reliable way than comparing the maps with different bandwidths subjectively by eye.

Subject Keywords

Correlation, Grid resolution, Kernel bandwidth, Kernel density estimation, Forest fire

URI

https://hdl.handle.net/11511/41280

Journal

ECOLOGICAL MODELLING

DOI

https://doi.org/10.1016/j.ecolmodel.2011.06.006

Collections

Department of Civil Engineering, Article

Suggestions

OpenMETU
Core

Numerical modeling of Edremit geothermal field Günay, Emre; Karahanoğlu, Nurkan; Department of Geological Engineering (2012) The purpose of this study is to examine the geothermal potential, sustainability, and reinjection possibility of Edremit geothermal field. In order to investigate this, a numerical model consisting of a hot and cold water aquifer system is established. A two dimensional cross sectional model is set to simulate this geothermal system. Different pressure and temperature values are applied to the nodes at the boundaries to perform a steady state calibration which minimizes the computed results and observed val...
Forest Fire Risk Mapping by Kernel Density Estimation KUTER, NAZAN; Yenilmez, Firdes; KUTER, SEMİH (2011-09-01) When evaluating wildland fires, well prepared forest fire risk maps are regarded as one of the most valuable tools for forest managers, and during the production stage of these maps, association between historical fire data and other factors, such as topographic, anthropogenic and climatic, are often required. One of the most encountered problems in forest fire risk analyses is the fact that historical fire data, the dependent variable, are generally in point format, whereas other factors, the independent v...
SWELL BEHAVIOR OF ARID CLIMATE SHALES FROM SAUDI-ARABIA EROL, AO; DHOWIAN, A (Geological Society of London, 1990-01-01) Arid and hot climatic conditions influence the development of surficial (superficial) sediments by aggravating the desiccation and weathering processes. Such environmental factors promote the occurrence of expansive soils in the Middle East. This study deals with the nature and extent of expansive soil problems in major development areas of Saudi Arabia where severe damage has been experienced in numerous projects. The expansive soils primarily consist of shales of Tertiary age which occur in a narrow strip...
Discrete fracture network modeling in Alaşehir geothermal field Aydın, Hakkı; Akın, Serhat; Department of Petroleum and Natural Gas Engineering (2018) Understanding of fractures network and fracture characteristic properties is essential for an effective geothermal reservoir management. Discrete Fracture Network (DFN) is one of the widely used approach to characterize fractured reservoirs. DFN modeling approach uses fracture geometry, conductivity and connectivity to create a fracture network. In this study, DFN modeling is used to characterize Alaşehir geothermal reservoir, which consists from heavily fractured marble and schist. Fracture parameters such...
Climate change vulnerability in agriculture and adaptation strategies of farmers to climatic stresses in Konya, Turkey Kuş, Melike.; Rittersberger Tılıç, Helga.; Department of Earth System Science (2019) Agriculture is highly vulnerable to climatic changes and extremes as it is generally an outdoor activity. Its vulnerability to climate change is estimated at different scales and then policies are developed to reduce sensitivity and improve adaptive capacity of the farmers accordingly. Assessments at different scales use different methodologies and indicators, which result in incomparable outcomes. Macro scale assessments lack further validation of the results at the local level, and the local level assessm...

Citation Formats

S. KUTER, N. Usul, and N. KUTER, “Bandwidth determination for kernel density analysis of wildfire events at forest sub-district scale,” ECOLOGICAL MODELLING, pp. 3033–3040, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41280.