A novel GIS-based ensemble technique for rangeland downward trend mapping as an ecological indicator change

Yousefi, Saleh; Avand, Mohammadtaghi; Yariyan, Peyman; Pourghasemi, Hamid Reza; Keesstra, Saskia; Tavangar, Shahla; Tabibian, Sahar

doi:10.1016/j.ecolind.2020.106591

Cited by 36 publications

(6 citation statements)

References 98 publications

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“…Multi-linearity (or collinearity) is a type of statistical phenomenon in multiple linear regression analyses in which two (or more) predictor variables are related or interrelated (Kroll and Song 2013). It is necessary to choose a method that can predict the impact of variables independently in such research (Gudiyangada Nachappa et al 2019;Yousefi et al 2020). In this study, the linearity of flood conditioning factors was investigated using the Variance Inflation Factor (VIF) and Tolerance (TOL).…”

Section: Multi-collinearity Test Of Geo-environmental Factorsmentioning

confidence: 99%

Flood susceptibility mapping using an improved analytic network process with statistical models

Yariyan

Avand

Abbaspour

et al. 2020

Geomatics, Natural Hazards and Risk

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103

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Flooding is a natural disaster that causes considerable damage to different sectors and severely affects economic and social activities. The city of Saqqez in Iran is susceptible to flooding due to its specific environmental characteristics. Therefore, susceptibility and vulnerability mapping are essential for comprehensive management to reduce the harmful effects of flooding. The primary purpose of this study is to combine the Analytic Network Process (ANP) decision-making method and the statistical models of Frequency Ratio (FR), Evidential Belief Function (EBF), and Ordered Weight Average (OWA) for flood susceptibility mapping in Saqqez City in Kurdistan Province, Iran. The frequency ratio method was used instead of expert opinions to weight the criteria in the ANP. The ten factors influencing flood susceptibility in the study area are slope, rainfall, slope length, topographic wetness index, slope aspect, altitude, curvature, distance from river, geology, and land use/land cover. We identified 42 flood points in the area, 70% of which was used for modelling, and the remaining 30% was used to validate the models. The Receiver Operating Characteristic (ROC) curve was used to evaluate the results. The area under the curve obtained from the ROC curve indicates a superior performance of the ANP and EBF hybrid model (ANP-EBF) with 95.1% efficiency compared to the combination of ANP and FR (ANP-FR) with 91% and ANP and OWA (ANP-OWA) with 89.6% efficiency.

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Section: Multi-collinearity Test Of Geo-environmental Factorsmentioning

confidence: 99%

Flood susceptibility mapping using an improved analytic network process with statistical models

Yariyan

Avand

Abbaspour

et al. 2020

Geomatics, Natural Hazards and Risk

Self Cite

103

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“…One of the most important reasons for using the SVM method includes: This model is used for both classification and regression, the training of this model is very simple, this model works well for high‐dimensional data, and the complexity of the classification and error rate are clearly controlled (Gigović et al, 2019; Khan, Shahid, Alam, Su'ud, & Kadir, 2019; Yousefi et al, 2020). The ability to use a Random Forest is very simple, often with great results even without setting up its meta‐parameters.…”

Section: Introductionmentioning

confidence: 99%

Assessment of land degradation using machine‐learning techniques: A case of declining rangelands

et al. 2020

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Increased use and increasing demands pose serious threats to rangelands. In this study, we document a pronounced downward trend in rangeland quality in the Alborz Mountains in Firozkuh County, Iran using analysis of three machine‐learning models (MLMs). A total of 1,147 transects were established to evaluate the rangeland quality trends from field data collected over a 7‐year period. Twelve independent conditional factors were analyzed for their relationships to range quality through three MLMs—Random Forest (RF), classification and regression tree (CART), and support vector machine (SVM). Based on assessments of the trained and validated models, RF, with a ROC‐AUC = 0.96, was determined to be the most robust. The results show that about 20% of the rangeland in the study area is in a critically degraded condition. Distances from roads and livestock density are the two factors most strongly linked to degradation. These results, in combination with field observations, indicate that the rangelands of the study area face two major challenges (overgrazing and early grazing) that require new strategies to mitigate and prevent damages. This study may provide important guidance for evaluating rangeland conditions in other regions of the world.

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“…Mapping affects visual representation of maps as a product used for spatial analysis of geographic phenomena (Zálešáková 1995;Siwek, Kaňok 2000;Sarhadi, Soltani, Modarres 2012;Zou, Wang, Wang 2012). In this way, effective techniques of mapping helps to reveal hidden correlations between spatial phenomena and to highlight variations in geographic data (Arabameri et al 2019;Hind 2020;Yousefi et al 2020;Reddy et al 2022).…”

Section: Methodsmentioning

confidence: 99%

Cartographic scripts for seismic and geophysical mapping of Ecuador

Lemenkova

2022

Geografie

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This research describes a script-based method of Generic Mapping Tools (GMT) for mapping the seismicity, geophysics, geology and topography of Ecuador. The advances of GMT include the following points: (1) automation of workflow; (2) refined aesthetics of graphics; (3) speed console-based mapping; (4) multi-format data handling; (5) advanced syntax. An explanation of scripting with the examples of code snippets is provided. The results present six new maps of Ecuador. The distribution of geophysical phenomena and seismicity is compared to the terrain elevation, showing remarkable correlations with the topography and geoid. The data demonstrated low values in the depression of the Andes, the Gulf of Guayaquil, and the Peru-Chile Trench. The peaks in gravity are representative for the Andean topography. Local decreases in gravity correspond to the depressions in the coastal shelf and the Gulf of Guayaquil. The increase in seismicity is detected along the tectonically active areas. The GMT is appropriate to the geological risk assessment of Ecuador.

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A novel GIS-based ensemble technique for rangeland downward trend mapping as an ecological indicator change

Cited by 36 publications

References 98 publications

Flood susceptibility mapping using an improved analytic network process with statistical models

Flood susceptibility mapping using an improved analytic network process with statistical models

Assessment of land degradation using machine‐learning techniques: A case of declining rangelands

Cartographic scripts for seismic and geophysical mapping of Ecuador

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