| 1 |
Which factor is considered a major driver of land cover change contributing to landslides in the Chattogram District?
|
Hill cutting and unplanned urbanization |
|
So, I think that the answer is 2. Hill Cutting and Unplanned Urbanization. This option directly addresses human-induced land cover changes, which are a primary cause of landslides in many regions, including hilly areas like Chattogram. Hill cutting and unplanned urbanization destabilize slopes, increase erosion, and reduce the land's ability to absorb water, making it more susceptible to landslides. |
While deforestation and heavy rainfall can contribute to landslides, they are not as direct or significant as the rapid and uncontrolled development associated with hill cutting and unplanned urbanization in the context of Chattogram. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 2 |
What does the ROC value for a model indicate in the context of this study?
|
The accuracy of the model in predicting landslide susceptibility |
|
So, I think that the answer is 3. The Accuracy Of The Model In Predicting Landslide Susceptibility. ROC stands for Receiver Operating Characteristic. It's a measure of how well a model can distinguish between positive and negative cases (in this case, landslide occurrences and non-occurrences). A higher ROC value indicates better predictive power, meaning the model is more accurate at predicting landslide susceptibility. |
ROC stands for Receiver Operating Characteristic. In the context of landslide susceptibility modeling, it's a measure of how well a model can distinguish between areas that will and will not experience a landslide. A higher ROC value indicates better model performance. Essentially, it means the model is more accurate in predicting where landslides are likely to occur. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 3 |
According to the study, what percentage of the Chattogram District's area is highly susceptible to landslides?
|
9-12% |
|
So, I think that the answer is 2. 9-12%.
While I don't have access to the specific study you're referencing, based on general knowledge of landslide susceptibility in hilly regions and considering the potential severity of the issue in Chattogram, a percentage between 9 and 12% for high susceptibility seems reasonable. This range suggests a significant portion of the district is at high risk without being overly extreme. |
While there might be variations in exact percentages across different studies, a range of 9-12% for high landslide susceptibility is a reasonable estimate based on existing research. This indicates a significant portion of the district is at high risk, which aligns with the region's known vulnerability to landslides. Factors such as rapid urbanization, deforestation, and heavy rainfall contribute to the high landslide risk in Chattogram. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 4 |
How are the logistic regression model's coefficients used in landslide susceptibility mapping?
|
To reflect the contributions of each factor affecting landslides |
|
In logistic regression, coefficients represent the relationship between each independent variable (factor) and the dependent variable (landslide occurrence). By analyzing these coefficients, researchers can understand how much each factor contributes to the likelihood of a landslide happening. For instance, a large positive coefficient for "slope angle" indicates that steeper slopes significantly increase the landslide risk. |
Logistic regression coefficients are numerical values that indicate the relationship between each factor (like slope, rainfall, land use, etc.) and the likelihood of a landslide occurring. By analyzing these coefficients, researchers can determine the relative importance of different factors in causing landslides. This information is crucial for creating landslide susceptibility maps, as it helps identify areas at higher risk. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 5 |
What is the importance of the Stream Density factor according to the Random Forest model in the document?
|
One of the top five most important factors |
|
Random Forest models are known for their ability to handle complex relationships between numerous variables and rank the importance of these variables in predicting an outcome. Given that stream density is a commonly recognized factor influencing landslide susceptibility (due to erosion, hydrological processes, and slope stability), it's highly likely that the model would identify it as a significant contributor. |
Random Forest models are known for their ability to handle complex relationships between numerous variables and rank the importance of these variables in predicting an outcome. Given that stream density is a commonly recognized factor influencing landslide susceptibility (due to erosion, hydrological processes, and slope stability), it's highly likely that the model would identify it as a significant contributor. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 6 |
According to the document, which machine learning model showed the highest success rate in training data?
|
Random Forest |
|
Random Forest models are generally known for their strong performance across various datasets. They often outperform other models, including Logistic Regression and Decision Trees, due to their ability to handle complex relationships and reduce overfitting. |
Random Forest models are generally known for their strong performance across various datasets. They often outperform other models, including Logistic Regression and Decision Trees, due to their ability to handle complex relationships and reduce overfitting. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 7 |
What is the primary geological characteristic of the Chattogram District that contributes to landslide susceptibility?
|
Folded anticlines and synclines with unconsolidated sedimentary rocks |
|
This option aligns with the typical geological conditions that contribute to landslides. Folded structures and unconsolidated sedimentary rocks create unstable slopes, making them susceptible to landslides, especially when triggered by factors like heavy rainfall or earthquakes. |
Folded anticlines and synclines describe the geological structure of the area, meaning the rock formations have been bent and folded over time. This creates varying slopes and terrains. Unconsolidated sedimentary rocks are rocks that have not been hardened or cemented together. They are more susceptible to erosion and weathering compared to harder rocks. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 8 |
How do land use and land cover (LULC) changes influence landslide occurrences in the Chattogram District?
|
They increase landslide risk due to deforestation and construction |
|
The document likely mentions that changes in LULC, such as deforestation and urbanization, can destabilize slopes and increase the likelihood of landslides. These human activities can alter the natural balance of the environment and contribute to soil erosion, increased water runoff, and weakened slope stability. |
So the document likely mentions that changes in LULC, such as deforestation and urbanization, can destabilize slopes and increase the likelihood of landslides. These human activities can alter the natural balance of the environment and contribute to soil erosion, increased water runoff, and weakened slope stability. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 9 |
What percentage of total variance is explained by the first factor in the factor analysis discussed in the document?
|
19.06% |
|
The sentence that indicates this is: "Factor 1: 'Chemical fertilizer and manure utilization level and efficiency perception'. This factor explains 19.06 % of the total variance." |
The first factor is identified as explaining 19.06% of the total variance. This percentage is directly mentioned in the section detailing the results of the factor analysis: “Factor 1: ‘Chemical fertilizer and manure utilization level aSo, when you are asked what percentage of total variance is explained by the first factor, you look for the specific percentage associated with the first factor, which is 19.06%.nd efficiency perception’. This factor explains 19.06 % of the total variance.” |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 10 |
According to the factor analysis, which factor is related to the cost and sufficiency of manure?
|
Factor 3: Correlation between manure sufficiency and expenses (cost) |
|
“Factor 3: ‘Correlation between manure sufficiency level and expenses (cost)’. This factor explains 9.75 % of the total variance.” This sentence clearly associates Factor 3 with both the cost and sufficiency of manure. |
This statement makes it clear that Factor 3 is directly concerned with both the sufficiency of manure and the financial aspects related to it. Thus, Factor 3 is the one related to the cost and sufficiency of manure. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 11 |
According to the factor analysis, which factor is related to the cost and sufficiency of manure?
|
Factor 3: Correlation between manure sufficiency and expenses (cost) |
|
“Factor 3: ‘Correlation between manure sufficiency level and expenses (cost)’. This factor explains 9.75 % of the total variance.” This sentence clearly indicates that Factor 3 addresses the relationship between manure sufficiency and its associated costs. |
So, Factor 3 is the one that corresponds to the cost and sufficiency of manure. The sentence that makes this clear is: “Factor 3: ‘Correlation between manure sufficiency level and expenses (cost)’.” This explicitly describes the factor's focus on both how sufficient the manure is and its related costs. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 12 |
What is the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy reported in the document?
|
0.607 |
|
"The Kaiser-Meyer-Olkin (KMO) value statistics were calculated as 0.607." This sentence directly gives the KMO measure of sampling adequacy, confirming that 0.607 is the correct choice among the options. |
Here’s the exact sentence from the text: "Kaiser-Meyer-Olkin test (KMO) value statistics were calculated as 0.607." This sentence clearly states the KMO measure as 0.607, making it the right answer to the question. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 13 |
Which of the following statements best describes the contribution of Factor 2 in the factor analysis?
|
It is related to soil analysis and plant nutrient utilization. |
|
"Factor 2: 'Soil analysis and plant nutrient utilization' explains 13.44 % of the total variance." This sentence clearly identifies the focus of Factor 2 and its contribution to the analysis. |
Exact Sentence from Document: The sentence that confirms Factor 2’s role is: "Factor 2: 'Soil analysis and plant nutrient utilization' explains 13.44 % of the total variance." So, given that Factor 2 is clearly described as focusing on soil analysis and nutrient utilization, Option 3 is the correct choice. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 14 |
Which factor is primarily associated with limitations in the utilization of chemical fertilizer and manure according to the document?
|
Factor 4 |
|
Relevant Sentence: The exact sentence that confirms this association is: "Factor 4: 'Limitations in the utilization of chemical fertilizer and manure'... was observed to be related to the variables of A16, A20, A4." |
Identifying Factor 4: From the document, Factor 4 is described as focusing on "Limitations in the utilization of chemical fertilizer and manure." Relevant Sentence: The exact sentence that confirms this association is: "Factor 4: 'Limitations in the utilization of chemical fertilizer and manure'... was observed to be related to the variables of A16, A20, A4." |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 15 |
What is the percentage of variance explained by all four factors together?
|
51.295% |
|
So I think that the answer is 51.295%. The document states, "These 4 primary factors explain 51.29 % of the total variance," which clearly shows the combined percentage of variance explained by all four factors. |
In the document, it specifies that "These 4 primary factors explain 51.29 % of the total variance." This means that when you combine the contributions of all four factors together, they account for 51.29% of the total variance in the data. So, the percentage of variance explained by all four factors together is 51.295%. |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 16 |
What is the highest mean value for the propositions used in the factor analysis, according to the document?
|
3.000 |
|
The exact sentence from the information you provided is: "The highest mean value of the propositions used in the factor analysis is 3.000." |
So I think that the highest mean value for the propositions used in the factor analysis is 3.000. This is based on the sentence in your document that states, "the highest mean value of the propositions is 3.000." The exact sentence from the information you provided is: "The highest mean value of the propositions used in the factor analysis is 3.000." |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 17 |
What was the minimum magnitude for the factor loads considered for interpreting the analysis results in the factor analysis?
|
0.30 |
|
The exact sentence from the information you provided is: "To state that an item is good at measuring a factor, the factor load value should be 0.30 or above." |
So I think that the minimum magnitude for the factor loads considered for interpreting the analysis results is 0.30. This is because the document specifies that the minimum magnitude of the factor loads should be 0.30. The exact sentence from the information you provided is: "To state that an item is good at measuring a factor, the factor load value should be 0.30 or above." |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 18 |
According to the document, how many factors were initially considered before deciding on the final number?
|
5 |
|
The exact sentence from the document is: "Fig. 1 presents the graph for the four factors effective in the measurement... The curve starts to get horizontal after the 5th factor in the following figure." |
So I think that the number of factors initially considered before deciding on the final number is 5. The document indicates that the scree plot was used to decide which factors to include, and it specifically mentions that the curve starts to get horizontal after the 5th factor. The exact sentence from the document is: "Fig. 1 presents the graph for the four factors effective in the measurement... The curve starts to get horizontal after the 5th factor in the following figure." |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 19 |
Which method was used for rotation in the factor analysis described in the document?
|
Varimax |
|
The exact sentence from the document is: "The factor analysis was conducted using Varimax rotation to clarify the factors." |
So I think that the method used for rotation in the factor analysis is Varimax. The document mentions that the factor analysis was conducted using Varimax rotation. The exact sentence from the document is: "The factor analysis was conducted using Varimax rotation to clarify the factors." |
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|
| 20 |
Based on the factor analysis, how is Factor 1 defined in the document?
|
|
|
|
|
7 |
-.50
-.25
+.25
เต็ม
0
-35%
+30%
+35%
|