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Which factor is considered a major driver of land cover change contributing to landslides in the Chattogram District?
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Large-scale deforestation for agriculture only |
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Human migration to hilly areas are the major drivers of land cover change in the hilly areas of Bangladesh. These types of land cover changes make the fragile hilly landscapes more vulnerable to landslides |
https://www.sciencedirect.com/science/article/pii/S2405844023106323#sec4
Section 1 : Introduction. |
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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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As it is shown in the form of a graph in the study. |
https://www.sciencedirect.com/science/article/pii/S2405844023106323#sec4
3.5 Accuracy of the Map |
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According to the study, what percentage of the Chattogram District's area is highly susceptible to landslides?
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9-12% |
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"The LSMs showed that almost 9–12 % of areas of the Chattogram district are highly susceptible to landslides." As it is mentioned in the study. |
https://www.sciencedirect.com/science/article/pii/S2405844023106323#sec4
Abstract Section |
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How are the logistic regression model's coefficients used in landslide susceptibility mapping?
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To calculate the exact time of landslide occurrence |
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"The confusion matrix of the LR model indicates that 171 landslide absences and 189 landslide presences were correctly predicted.
The model incorrectly predicts 15 landslide absences and 33 landslide presences. The percentage of correctly predicted absences is 83.82 % and the presence is 92.65 %" It is mentioned in the study that the LR model "predicts" which implies that it have something to do with time. |
https://www.sciencedirect.com/science/article/pii/S2405844023106323#sec4
3.2.1 Logistic Regression |
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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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The random forest model demonstrated that geology is the most important variable (42.153 %), followed by TRI (20.143 %), elevation (19.036 %), stream density (15.670 %) and Slope (13.212 %) |
https://www.sciencedirect.com/science/article/pii/S2405844023106323#sec4 3.2.2 Random forest model |
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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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LR showed the highest prediction rate and DRT showed the highest success rate. As it is mentioned in the study. |
https://www.sciencedirect.com/science/article/pii/S2405844023106323#sec4
Abstract Section |
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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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Structural Weakness: Anticlines and synclines involve bending and folding of rock layers, which can create zones of weakness, such as fractures and faults. These weaknesses can act as slip planes, facilitating movement along the bedding planes during heavy rainfall or seismic activity.
Unconsolidated Sedimentary Rocks: These rocks lack the cohesion and strength of more consolidated rocks. They are often composed of loose particles that can easily become unstable, especially when saturated with water. |
https://www.owp.csus.edu/glossary/unconsolidated-formation.php
https://sites.radford.edu/~jtso/GeologyofVirginia/Structures/GeologyOfVAStructures4-2e.html |
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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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According to the LR model, aspect, geology, road, stream density, LULC, slope and elevation are the most influential factors in landslide susceptibility mapping. |
https://www.sciencedirect.com/science/article/pii/S2405844023106323#sec4 3.7 Cause of landslide in the study area |
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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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"These 4 factors explain 51.29 % of the total variance." As it is mentioned in the study. |
https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010 Abstract Section. |
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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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The name explains itself. "Correlation Between Manure Sufficiency And Expense" This factor analyses the Manure sufficiency and the expenses (cost) of it. |
Factor 3 “Correlation between manure sufficiency and expenses (cost)” https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010 Abstract Section.
If you simply replace the word expenses with "cost". It will be the factor of cost and sufficiency of manure which is related to the question. |
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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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The name explains itself. "Correlation Between Manure Sufficiency And Expense" This factor analyses the Manure sufficiency and the expenses (cost) of it. |
Factor 3 “Correlation between manure sufficiency and expenses (cost)” https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010 Abstract Section.
If you simply replace word the expenses with "cost". It will be the factor of cost and sufficiency of manure which is related to the question. |
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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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Kaiser-Meyer-Olkin test (KMO) value statistics were calculated as 0.607. As it is declared in the study. |
https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010
on the "Analysis of the sustainable manure and chemical fertilizer practices of farmers via factor analysis" Topic |
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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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Factor 2 Which is “Soil analysis and crop nutrient utilization” as the name implies It Is Related To Soil Analysis And Plant Nutrient Utilization. |
Factor 2 “Soil analysis and crop nutrient utilization” https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010 Abstract Section |
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Which factor is primarily associated with limitations in the utilization of chemical fertilizer and manure according to the document?
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Factor 1 |
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Factor 1 which is “Chemical fertilizer and manure utilization level and efficiency perception". |
https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010 Abstract Section |
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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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These 4 factors explain 51.29 % of the total variance. As is declared in the study. |
https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010 Abstract Section |
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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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As is shown in the study according to table 3. |
https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010
"Analysis of the sustainable manure and chemical fertilizer practices of farmers via factor analysis " Section. Table 3 |
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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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The minimum magnitude of the factor loads should be 0.30 as it is mentioned in the study. |
https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010 The paragraph below table 6. |
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According to the document, how many factors were initially considered before deciding on the final number?
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presents the statistical results for the factor analysis solution. Accordingly, it has been decided that 4 factors will be sufficient for explaining the variables taking into consideration the eigenvalues, variance and additive variance criteria. These 4 primary factors explain 51.29 % of the total variance. While the first factor explains 19.06 % of the total variance, the second factor explains 13.44 %, the third factor explains 9.75 % and the fourth factor explains 9.05 % of the total variance. |
https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010 The paragraph above Table 5. |
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Which method was used for rotation in the factor analysis described in the document?
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Varimax |
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The sentence "Factor analysis rotation results based on the varimax method are shown in Table 6." in the study. |
https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010 The paragraph below table 5. |
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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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These 4 factors explain 51.29 % of the total variance. Factor 1 “Chemical fertilizer and manure utilization level and efficiency perception, Factor 2 “Soil analysis and crop nutrient utilization”, Factor 3 “Correlation between manure sufficiency and expenses (cost)”, Factor 4 “Limitations in chemical fertilizer and manure utilization”. |
https://www.sciencedirect.com/science/article/pii/S294975072300041X#ab010 Abstract Section. |
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