1.
Who was the founder of Geostatistics?
Correct Answer
A. Georges Matheron
Explanation
Georges Matheron is the correct answer because he is widely recognized as the founder of Geostatistics. He was a French mathematician and engineer who developed the theory and methods of Geostatistics in the 1960s. Matheron's work revolutionized the field of spatial analysis and paved the way for the application of statistical techniques in the study of spatial data. His contributions have had a significant impact on various disciplines, including geology, mining, hydrology, and environmental sciences.
2.
The founder of Geostatistics lived for how many years?
Correct Answer
B. 69
Explanation
The founder of Geostatistics lived for 69 years.
3.
What was the nationality of Geostatistics founder?
Correct Answer
B. France
Explanation
The correct answer is France. The nationality of the founder of Geostatistics is French.
4.
Geostatistics is known to be under...
Correct Answer
C. Geography
Explanation
Geostatistics is a field that focuses on the analysis and interpretation of spatial data. It involves the study of various geographic phenomena such as landforms, climate patterns, and population distribution. By examining these spatial patterns, geostatistics helps in understanding the relationships between different geographical features and their impact on the environment. Therefore, it is closely related to the field of geography, making it the correct answer.
5.
The founder of Geostatistics and who are the founders of mathematical morphology?
Correct Answer
A. Jean Serra
Explanation
Jean Serra is the correct answer because he is the founder of Geostatistics, which is a branch of statistics that deals with spatial or spatiotemporal data analysis. Geostatistics is used in various fields such as geology, environmental science, and agriculture to analyze and model spatial data. The question does not mention anything about the founders of mathematical morphology, so we cannot provide information about them.
6.
Which of these is the middle name of the Geostatistics founder?
Correct Answer
A. François
Explanation
The middle name of the Geostatistics founder is François.
7.
Which of these branches of Geography does Geostatistics belong to?
Correct Answer
B. Physical Geography
Explanation
Geostatistics is a branch of geography that focuses on the analysis and interpretation of spatial data. It involves the application of statistical methods to study and understand the patterns and processes of the Earth's physical features, such as landforms, climate, and natural resources. Therefore, Geostatistics belongs to the branch of Physical Geography, which deals with the natural environment and its components.
8.
Figure out the one that is not the techniques of Geostatistics?
Correct Answer
D. Analysing
Explanation
The techniques listed in the question are Kriging, Multiple Kriging, and Simulating, all of which are commonly used in Geostatistics. However, "Analyzing" is not a specific technique of Geostatistics. While analysis is a fundamental aspect of Geostatistics, it is not a distinct technique in itself. Geostatistics primarily focuses on spatial data analysis and interpolation methods like Kriging and Simulating to estimate values at unobserved locations based on observed data.
9.
Which of these methods of Geostatistics is also known as Gaussian process?
Correct Answer
A. Kriging
Explanation
Kriging is the method of Geostatistics that is also known as Gaussian process. Kriging is a spatial interpolation technique that predicts values at unmeasured locations based on the values at nearby measured locations. It uses a Gaussian process model to estimate the spatial correlation between data points and make predictions. This method is widely used in various fields such as geology, environmental science, and hydrology for spatial analysis and prediction.
10.
Identify the most advanced method of Geostatistics.
Correct Answer
B. Multiple-indicator kriging
Explanation
Multiple-indicator kriging is considered the most advanced method of Geostatistics because it allows for the incorporation of multiple indicators or variables in the estimation process. This method takes into account the spatial correlation between different indicators, resulting in more accurate and reliable predictions. By considering multiple indicators, it provides a more comprehensive understanding of the spatial distribution of the variable of interest, making it a more advanced and powerful technique in Geostatistics.