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Proximity Matrix and Its Applications by Li Jimbo Master of Science in Software Engineering 2013 Faculty of Science and Technology University of Macau Proximity Matrix and Its Applications by Li Jimbo
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How to fill out proximity matrix and its?

01
Start by determining the variables or entities that you want to compare in the proximity matrix. For example, if you are comparing the similarities between different towns, the variables could be the towns themselves.
02
Create a matrix with rows and columns representing the variables. The length or size of the matrix will depend on the number of variables you have. For example, if you have 5 towns, you will create a 5x5 matrix.
03
Decide on the method or technique you want to use to measure the proximity between the variables. This could be based on distance, similarity, or any other criteria. For instance, if you are comparing towns based on geographical distance, you can measure the straight line distance between them.
04
Once you have decided on the measurement method, calculate the proximity or similarity between each pair of variables and fill in the matrix accordingly. For example, if you have two towns A and B, you would calculate their distance or similarity and record that value in both the A-B and B-A cells of the matrix.
05
Continue this process for all the pairs of variables until the entire matrix is filled.

Who needs proximity matrix and its?

01
Researchers and data analysts: Proximity matrices are often used in research and data analysis to understand the relationships and similarities between different variables. Researchers can use proximity matrices to identify patterns, clusters, or associations in their data.
02
Businesses and marketers: Proximity matrices can be useful for businesses and marketers when they need to make decisions based on similarities or distances between different entities. For example, a retail chain might use a proximity matrix to identify the best locations for opening new stores based on customer demographics and distance to competitors.
03
Planners and urban designers: Proximity matrices are valuable tools in urban planning and design. They can be used to assess the accessibility and connectivity between different locations or services, such as public transportation, schools, or parks. Planners can use proximity matrices to optimize the allocation of resources and improve the overall layout of a city or neighborhood.
In conclusion, filling out a proximity matrix involves determining the variables, creating the matrix, choosing a measurement method, calculating the proximity values, and filling in the matrix accordingly. Proximity matrices are beneficial for researchers, businesses, marketers, planners, and designers who need to analyze relationships, make data-driven decisions, or optimize spatial planning.
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Proximity matrix is a mathematical representation of the distances between data points in a dataset.
Any entity or individual conducting analysis on spatial data may be required to file a proximity matrix.
Proximity matrix is usually filled out by inputting the distances between data points into a matrix format.
The purpose of proximity matrix is to analyze the spatial relationships and distances between data points.
The information reported on proximity matrix includes the distances between each data point in the dataset.
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