Data Exploration Using GIS: Exploratory Data Analysis (Especially for GATE-Geospatial 2022)

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GIS is ideal for integrating various exploration datasets such as geophysical images, geochemistry, geologic maps, radiometric surveys, boreholes, and mineral deposits.

Data exploration is data-centered query and analysis. It allows the user to examine the general trends in the data, to take a close look at data subsets, and to focus on possible relationships between datasets.

Applications of Data Exploration in GIS

Data exploration in GIS provides functionally like exploratory data analysis and dynamic graphics in statistics.

Image Shows Data Exploration in GIS Functionality

Exploratory Data Analysis

Exploratory data analysis is first step in statistical analysis it is precursor to more formal and structured analysis. Exploratory data analysis advocates the use of a variety of techniques for examining data more effectively as the first step in statistical analysis and as a precursor to more formal and structured data analysis.

Techniques of Data Exploration

The purpose of data exploration is to better understand the data and to provide a starting point in formulating research questions and hypotheses.

  • Histograms and scatterplots to explore data and discover patterns
  • Dynamic graphics enhances exploration, allows selection, deletion, rotation, and transformation of data
  • Brushing: a technique for selecting and highlighting subset and compare to another highlighted subset
  • Box plot
  • Variogram

We can use similar kinds of functions in GIS.

Dynamic Graphics

Dynamic graphics enhances exploratory data analysis by using multiple and dynamically linked windows and by letting the user directly manipulate data points in charts and diagrams.

Interactive Data Exploration

Data exploration in GIS uses interactive and dynamically linked visual tools. Maps both vector- and raster-based, graphs, and tables are displayed in multiple windows and dynamically linked. It has several advantages:

  • Allow the user to focus on a data subset of interest.
  • In a GIS package, linkage between spatial and attribute data provides interactive and dynamic data exploratory.
  • Using the feature attribute table, a vector-based map can be joined or linked with other attribute tables in a RDBM for a data query.

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