Applications of multilinear maps

A multilinear map is a map with several variables. Each variable is linearly separated in multilinear maps, and these variables are vector spaces. Thus, a multilinear map takes some vector…

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Applications of Thematic Maps

As its name suggests, thematic maps illustrate the relationships between themes (subject) and the selected area. It shows a specific topic's spatial distribution and geographical patterns (themes). Before producing these…

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Applications of Soil Maps

Soil is one of the most crucial components of the environment. Scientists and geographers use various tools and techniques to study and analyze the soil. Cartographers and agriculturists rely on…

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What are karnaugh maps used for?

Karnaugh map is a technique or method in mathematics that is used to simplify Boolean algebra. The technique is a visual method used to simplify Boolean expressions pictorially. Therefore, a…

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Applications of Lidar in GIS

LiDAR is a method for determining series by targeting a surface with a laser and measuring the time taken for the reflected light to return to the receiver. Lidar is…

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Applications of Genome Maps

Other than Earth's maps, did you know there are human's maps? Genome maps, also known as genetic maps, are maps used to locate and identify the position of genes on…

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Applications of Cadastral maps

Cadastral Maps are the type of maps that contains cadastre data. The cadastral data is usually the information on the part of the earth. Therefore, these maps are useful in…

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Applications of Fuzzy Cognitive maps

Fuzzy Cognitive Maps (FCM) are maps representing the person’s mental model that explains a given concept or process. Therefore, FCM is a semi-quantitative and dynamic method used to analyze and…

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Applications of self-organizing maps

Self-organizing maps (SOM) are unsupervised maps used in neural networks. SOM is a powerful software tool to visualize high-dimensional data and convert complex data into simple relationships. These maps are…

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