Geographic

Applied Spatio-temporal Statistics

by Trevor Hefley

2024-02-14

Course notes for Applied Spatio-temporal Statistics (STAT 764) at Kansas State University for the spring 2024 semester […] This document contains the course notes for Applied Spatio-temporal Statistics at Kansas State University (STAT 764). During the semester we will cover construction and analysis of spatial, time series, and spatio-temporal data sets. Topics include data generation using geographic information systems, exploratory data analysis and visualization, and descriptive and dynamic spatio-temporal statistical … Read more →

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Geocomputation with R

by Robin Lovelace, Jakub Nowosad, Jannes Muenchow

2024-02-12
Geocomputation with R

Welcome | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. Read more →

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Meta-analysis Shiny Application Guideline

by Sangyoung Jung

2024-02-06

Sangyoung Jung This application can help data analysis for the meta analysis and data visualization including forest plots and geographical frequency maps. It offers four key benefits: Data Cleaning and Check: The application not only cleanses datasets, preparing elements such as author names for meta-analysis, but also assists in identifying missing values and outliers during data checks. Meta-analysis Model Fitting: It is capable of conducting meta-analysis and moderator analysis with detailed statistics and diagnostic plots. Data Visualization: The application supports data visualization, … Read more →

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GEOG5917 Big Data & Consumer Analytics - RStudio Practicals

by Lex Comber

2024-02-05

This contains materials to support the University of Leeds GEOG5917 module, delivered by Lex Comber […] This is an on-line book written to support the practicals for the GEOG5917 Big Data and Consumer Analytics module, delivered by Lex Comber of the School of Geography, from the University of Leeds. A real book was written based on the materials developed for this module: Geographical Data Science and Spatial Data Analysis: An Introduction in R (Comber and Brunsdon 2021 - link here) and the module also draws from An Introduction to Spatial Analysis and Mapping in R (Brunsdon and Comber 2018 … Read more →

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INFO 532: Advanced GIS

by Emily Peterson & Alex Edwards

2023-11-29

This book covers topics discussed in INFO 532: Advanced Geographic Information Systems. […] Authors: Alex Edwards & Emily Peterson Fall 2023 This Advanced GIS Fall 2023 class is a project-based exploration of advanced topics in GIS and geospatial technology, with a focus on spatial modeling, advanced spatial analysis and geoprocessing, spatial data manipulation, and geocomputation. For information on course expectations, assignments, grading, and schedule, please review the course syllabus listed on Canvas. We will use this e-book for lectures, and in-class activities. All course content … Read more →

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CASA0005 Geographic Information Systems and Science

by Andy MacLachlan and Adam Dennett

2023-11-03

The CASA0005 Geographic Information Systems and Science practical book […] Hello and a warm welcome to the CASA0005 Geographic Information Systems and Science online practical handbook. The buzzword ‘Big data’ and associated roles of data scientists have become common additions to academia, industry and government organisations seeking to optimise workflows and base decisions on factual evidence (Donoho 2017; Li et al. 2016).In response, the demand for data scientists has significantly grown, with two major recruitment websites LinkedIn and Glassdoor reporting a respective 56% and 44% year … Read more →

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Geographic Data Science with R: Visualizing and Analyzing Environmental Change

by Michael C. Wimberly

2023-02-20
Geographic Data Science with R: Visualizing and Analyzing Environmental Change

A book example for a Chapman & Hall book. […] We live in a time of unprecedented environmental change, driven by the effects of fossil fuels on the Earth’s climate and the expanding footprint of human land use. To mitigate and adapt to these changes, there is a need to understand their myriad impacts on human and natural systems. Achieving this goal requires geospatial data on a variety of environmental factors, including climate, vegetation, biodiversity, soils, terrain, water, and human populations. Consistent monitoring is also necessary to identify where changes are occuring and … Read more →

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Introduction to Geographic Information System

by Wanda Bodnar (Thames Estuary Partnership)

2023-01-20

This is a minimal example of using the bookdown package to write a book. The HTML output format for this example is bookdown::bs4_book, set in the _output.yml file. [...] This interactive online book provides an introduction to the world of geographic information system (GIS). At the end of each chapter references as well as free and paid courses are listed which will allow you to explore GIS ... Read more →

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PrioriTree: an Interactive Utility for Improving Geographic Phylodynamic Analyses in BEAST

by Jiansi Gao, Michael R. May, Bruce Rannala, Brian R. Moore

2022-12-20

PrioriTree is an interactive browser utility—distributed as an R package (see https://jsigao.shinyapps.io/prioritree/ for a demo of the utility)—designed to help researchers specify input files for—and process output files from—analyses of biogeographic history performed using the BEAST software package (Drummond et al. 2012; Suchard et al. 2018). The discrete-geographic models implemented in BEAST (Lemey et al. 2009; Edwards et al. 2011) contain many parameters that must be inferred from minimal information (the single geographic area in which each pathogen occurs); inferences under this … Read more →

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A Crash Course in Geographic Information Systems (GIS) using R

by Michael Branion-Calles

2021-06-01

A Crash Course in Geographic Information Systems (GIS) using R […] There is an assumption of some previous experience in R with this tutorial. If you have not used R before I would start with Chapter 1 of the free, and excellent textbook R for Data Science. The GIS operations in R from the sf package are designed to integrate well with the tidyverse suite of R packages. We will make use of some basic functionality from the dplyr package and will be using pipes (%>%) to sequence multiple operations. If you are unfamiliar with dplyr and pipes I would go through the base vignette before … Read more →

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Dispersing or clustering: Spatial Pattern Analysis for Public Use and Taxi’s Rapid Charging Facilities in London, UK

by Student Number: 19175131

2021-01-08

This is a tutorial book with R Markdown for CASA0005 final coursework containing code and instruction of the whole analyzing process. Course name: CASA0005 Geographic Information Systems and Science Program: MSc Spatial Data Science and Visualisation Department: Centre for Advanced Spatial Analysis GitHub repository: https://github.com/LingruFeng/GIS_assessment Rpubs link: https://rpubs.com/Lingru/GIS_assessment … Read more →

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Exploring Digital Water Publics

by Helge Peters and Nathanael Sheehan

2020-12-18

This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook. […] The past year has seen increasing public debate about the environmental quality of water bodies in England. This debate has partly played out on the social media platform Twitter as environmental non-profits, local associations, celebrities, statutory bodies and other platform users form digital publics around a variety of issues related to the water environment. With a geographical focus on London and England, this project explores digital water publics by … Read more →

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Applied Spatio-temporal Statistics

by Trevor Hefley

2020-11-18

Course notes for Applied Spatio-temporal Statistics (STAT 764) at Kansas State University […] This document contains the course notes for Applied Spatio-temporal Statistics at Kansas State University (STAT 764). During the semester we will cover construction and analysis of spatial, time series, and spatio-temporal data sets. Topics include data generation using geographic information systems, exploratory data analysis and visualization, and descriptive and dynamic spatio-temporal statistical … Read more →

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Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature

by Gabriel Muñoz

2017-04-28

Literature thesis: Building a framework for retrieving information on multispecies interactions from published literature […] The generation of new global hypothesis, destined to understand our current global biodiversity crisis, requires a large amount of information. Our knowledge in Ecology is principally contained in the form of published articles. This global body of literature holds a significant amount of primary data on species distributions and interactions across a large geographical and temporal scale. In this literature review, I explore the use of different computational tools … Read more →

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