| 1 |
Which factor is considered a major driver of land cover change contributing to landslides in the Chattogram District?
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Hill cutting and unplanned urbanization |
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The major drivers of land cover change contributing to landslides in the Chattogram District are hill cutting and unplanned urbanization |
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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 ROC (Receiver Operating Characteristic) value for a model indicates the accuracy of the model in predicting landslide susceptibility. |
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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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15-20% |
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According to the study, 15-20% of the Chattogram District's area is highly susceptible to landslides |
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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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The coefficients in the logistic regression model are utilized to reflect the contributions of each factor affecting landslides, these coefficients quantify the relationship between various predictors (such as slope, soil type, and land cover) and the likelihood of landslides. |
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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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One of the top five most important factors |
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According to the Random Forest model, the Stream Density factor is ranked as one of the top five most important factors influencing landslide occurrences. This highlights the significant role of stream networks in the region's landslide dynamics. |
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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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Decision and Regression Tree |
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The success rate of DRT model is higher than Logistic regression and random forest. |
The success rate shows the area under the ROC for the Decision and Regression Tree (DRT) model is 0.947, which is higher compared to Logistic Regression (0.943) and Random Forest (0.917). |
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| 7 |
What is the primary geological characteristic of the Chattogram District that contributes to landslide susceptibility?
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Folded anticlines and synclines with unconsolidated sedimentary rocks |
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The Chattogram District is characterized by folded anticlines and synclines with unconsolidated sedimentary rocks, which contribute to landslide susceptibility. |
The article mentions that Chattogram District has many anticlines and synclines folded into sequences of long sub-meridional (NNW-SSE) structures composed of Upper Tertiary sandy-argillaceous sediments. |
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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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Changes in land use and land cover, particularly deforestation and construction, increase landslide risk in the Chattogram District |
Changes in land cover, especially in the Chattogram District, due to hill-cutting, expansion of brick kilns, agricultural activities on hill slopes, unplanned urbanization, and human migration to hilly areas have made the fragile hilly landscapes more vulnerable to landslides. |
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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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19.06% |
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The first factor in the factor analysis explains 19.06% of the total variance. |
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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 3: Correlation between manure sufficiency and expenses (cost) |
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This factor explains 9.75% of the total variance and is related to the variables concerning the cost and sufficiency of manure. |
The factor related to the cost and sufficiency of manure is Factor 3, which deals with the correlation between manure sufficiency and expenses (cost). |
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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 3: Correlation between manure sufficiency and expenses (cost) |
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It even stated in the name that it is related to cost. |
In the factor analysis conducted in the document, Factor 3 is specifically identified as related to the cost and sufficiency of manure. |
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| 12 |
What is the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy reported in the document?
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0.607 |
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A value of 0.607, as reported in the article. |
KMO measure is a statistic that indicates the proportion of variance among the variables that might be common variance. |
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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's name is Soil analysis and plant nutrient utilization. |
Factor 2 in the document's factor analysis is associated with variables that pertain to soil analysis and the utilization of plant nutrients. |
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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 4 |
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Name's Limitations in the utilization of chemical fertilizer and manure. |
According to the factor analysis, Factor 4 is primarily linked to the limitations encountered in the use of chemical fertilizers and manure. |
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| 15 |
What is the percentage of variance explained by all four factors together?
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51.295% |
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The total variance explained by all four factors combined is 51.295%. |
The percentage of variance explained by all four factors together is stated directly in the article as 51.295%. |
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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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2.814 |
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The highest mean value for the propositions is 2.814. |
The article provides a table listing the mean values for various propositions. Proposition A9 ("Manure utilization increases the amount of organic substance in the soil") |
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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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0.30 |
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This minimum magnitude is directly mentioned in the text |
The article specifies that variables with factor load values greater than 0.30 were considered when interpreting the analysis results. |
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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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4 |
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Initially, factors with eigenvalues greater than 1 were considered. Based on the scree plot and eigenvalues, the final number of factors decided was 4 |
The scree plot and analysis in the document showed that while 5 factors were considered initially, the decision was made to use the first 4 factors as they explained a significant portion of the variance. |
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| 19 |
Which method was used for rotation in the factor analysis described in the document?
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Varimax |
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The article directly mentions the use of the Varimax rotation method in the factor analysis. |
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| 20 |
Based on the factor analysis, how is Factor 1 defined in the document?
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Chemical fertilizer and manure utilization level and efficiency perception |
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Factor 1 is defined as "Chemical fertilizer and manure utilization level and efficiency perception" |
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