# Exploratory Analysis Of Spatial And Temporal Data Pdf

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*Exploratory data analysis EDA is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail.*

- Exploratory Analysis of Spatial and Temporal Data
- Spatiotemporal data analysis with chronological networks
- Spatiotemporal Analysis

February 26, Software Open Access. This online application implements statistical methods to analyse spatio-temporal data considering lattice data to describe the space. Once the different data sources have been merged within the application using specific index variables that identifies space and temporal resolution to be used in the analysis and for which information have been recorded, an exploratory analysis using descriptive statistics over space and time can be performed.

## Exploratory Analysis of Spatial and Temporal Data

It seems that you're in Germany. We have a dedicated site for Germany. Authors: Andrienko , Natalia, Andrienko , Gennady. Exploratory data analysis EDA is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation. As something relevant is detected in data, new questions arise, causing specific parts to be viewed in more detail.

In statistics , exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task. Exploratory data analysis was promoted by John Tukey to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments. EDA is different from initial data analysis IDA , [1] which focuses more narrowly on checking assumptions required for model fitting and hypothesis testing, and handling missing values and making transformations of variables as needed. Tukey defined data analysis in as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of mathematical statistics which apply to analyzing data. This family of statistical-computing environments featured vastly improved dynamic visualization capabilities, which allowed statisticians to identify outliers , trends and patterns in data that merited further study.

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## Spatiotemporal data analysis with chronological networks

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Exploratory data analysis (EDA) is about detecting and describing patterns, trends, and relations in data, motivated by certain purposes of investigation.

## Spatiotemporal Analysis

February 26, Software Open Access. This online application implements statistical methods to analyse spatio-temporal data considering lattice data to describe the space. Once the different data sources have been merged within the application using specific index variables that identifies space and temporal resolution to be used in the analysis and for which information have been recorded, an exploratory analysis using descriptive statistics over space and time can be performed. The exploratory analyses provide the user the possibility to estimate local statistics such as: Moran's I and Geary's C, which could aid to recognize potential clusters and hotspots.

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Natalia Andrienko · Gennady Andrienko. Exploratory Analysis of Spatial and. Temporal Data. A Systematic Approach. With Figures and 34 Tables.

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