| 1 |
Which factor is considered a major driver of land cover change contributing to landslides in the Chattogram District?
|
Large-scale deforestation for agriculture only |
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Large-scale deforestation for agriculture only |
Large-scale deforestation for agriculture in order to produce agricultural products for sale within the country and export abroad.
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7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 2 |
What does the ROC value for a model indicate in the context of this study?
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The accuracy of the model in predicting landslide susceptibility |
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The accuracy of the model in predicting landslide susceptibility |
In the context of model evaluation, particularly for risk assessment and predictive modeling, the ROC |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 3 |
According to the study, what percentage of the Chattogram District's area is highly susceptible to landslides?
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Less than 5% |
|
owest success rate of 0.916 and highest prediction rate of 0.963 and the lowest prediction rate of 0.905. |
The current map covers the whole Chattogram district with the highest success rate of 0.947 and lowest success rate of 0.916 and highest prediction rate of 0.963 and the lowest prediction rate of 0.905. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 4 |
How are the logistic regression model's coefficients used in landslide susceptibility mapping?
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To reflect the contributions of each factor affecting landslides |
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To reflect the contributions of each factor affecting landslides |
In landslide susceptibility mapping, the logistic regression model's coefficients are used to quantify and predict the likelihood of landslides based on various contributing factors. |
7 |
-.50
-.25
+.25
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-35%
+30%
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| 5 |
What is the importance of the Stream Density factor according to the Random Forest model in the document?
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Moderate importance compared to other factors |
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Moderate importance compared to other factors |
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7 |
-.50
-.25
+.25
เต็ม
0
-35%
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| 6 |
According to the document, which machine learning model showed the highest success rate in training data?
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Random Forest |
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Random Forest
|
found a 95.1 % success rate for the RF model in Asir Region, Saudi Arabia. Current research showed the overall highest success and prediction rate of the selected models compared to other regions |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
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| 7 |
What is the primary geological characteristic of the Chattogram District that contributes to landslide susceptibility?
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Extensive flat and low-lying areas |
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Extensive flat and low-lying areas |
he primary geological characteristic of the Chattogram District that contributes to landslide susceptibility is its hilly terrain with steep slopes. Here’s how this characteristic influences landslide |
7 |
-.50
-.25
+.25
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-35%
+30%
+35%
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| 8 |
How do land use and land cover (LULC) changes influence landslide occurrences in the Chattogram District?
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They increase landslide risk due to deforestation and construction |
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They increase landslide risk due to deforestation and construction |
Chattogram District. These changes alter the natural balance of the environment, affecting slope stability |
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| 9 |
What percentage of total variance is explained by the first factor in the factor analysis discussed in the document?
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32.496% |
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32.496% |
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7 |
-.50
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+.25
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-35%
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| 10 |
According to the factor analysis, which factor is related to the cost and sufficiency of manure?
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Factor 1: Chemical fertilizer and manure utilization level and efficiency perception |
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Factor 1: Chemical fertilizer and manure utilization level and efficiency perception |
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7 |
-.50
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+.25
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-35%
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| 11 |
According to the factor analysis, which factor is related to the cost and sufficiency of manure?
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Factor 1: Chemical fertilizer and manure utilization level and efficiency perception |
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Factor 1: Chemical fertilizer and manure utilization level and efficiency perception |
Factor 1: “Chemical fertilizer and manure utilization level and efficiency perception” was identified as the most important explanatory factor. |
7 |
-.50
-.25
+.25
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-35%
+30%
+35%
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| 12 |
What is the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy reported in the document?
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0.900 |
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0.900 |
Meyer-Olkin (KMO) ratios indicate higher suitability of the dataset for factor analysis. Thus, a Kaiser-Meyer-Olkin (KMO) ratio of 0.90 is evaluated as perfect |
7 |
-.50
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+.25
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-35%
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| 13 |
Which of the following statements best describes the contribution of Factor 2 in the factor analysis?
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It is related to soil analysis and plant nutrient utilization. |
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It is related to soil analysis and plant nutrient utilization. |
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+.25
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| 14 |
Which factor is primarily associated with limitations in the utilization of chemical fertilizer and manure according to the document?
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Factor 3 |
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7 |
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| 15 |
What is the percentage of variance explained by all four factors together?
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42.245% |
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|
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-35%
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| 16 |
What is the highest mean value for the propositions used in the factor analysis, according to the document?
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2.775 |
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7 |
-.50
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+.25
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-35%
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| 17 |
What was the minimum magnitude for the factor loads considered for interpreting the analysis results in the factor analysis?
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0.50 |
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|
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7 |
-.50
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+.25
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-35%
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| 18 |
According to the document, how many factors were initially considered before deciding on the final number?
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5 |
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|
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7 |
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| 19 |
Which method was used for rotation in the factor analysis described in the document?
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Quartimax |
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| 20 |
Based on the factor analysis, how is Factor 1 defined in the document?
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Correlation between manure sufficiency and expenses (cost) |
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|
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7 |
-.50
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+.25
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-35%
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