Introduction to Web Mapping

A web map is an interactive display of geographic information, in the form of a web page, that you can use to tell stories and answer questions. Web maps have numerous advantages over traditional mapping techniques, such as the ability to display up-to-date or even real-time information, easy distribution to end users, and highly customized interactive content. Introduction to Web Mapping teaches you how to develop online interactive web maps and web mapping applications, using standard web technologies: HTML, CSS and JavaScript. The core technologies are introduced in Chapters 1-5, focusing on the specific aspects which are most relevant to web mapping. Chapters 6-13 then implement the material and demonstrate key concepts for building and publishing interactive web maps. The book: <ul> <li>Gives an introduction to fundamental web technologies: HTML, CSS and JavaScript</li> <li>Covers Leaflet, the popular open-source JavaScript library for building web maps</li> <li>Describes the GeoJSON vector layer format and the Ajax technique for loading data</li> <li>Shows how spatial database APIs, such as the CARTO platform, can be combined with a web map to query and display large amounts of data</li> <li>Introduces client-side geoprocessing with the Turf.js JavaScript library, for applying spatial operators in the browser</li> <li>Demonstrates a complex web mapping application for collecting crowdsourced data, combining Leaflet, CARTO and the Leaflet.draw plugin</li> <li>Goes over 69 complete code examples and includes 9 solved exercises for building web maps and web pages (downloadable code is provided in the online supplement)</li> </ul> The book is intended for beginners with no background in web technologies or programming. Nevertheless, some prior experience with computers and programming is beneficial. The book can be used for self-study, or as a textbook in a standard undergraduate "Web mapping" course in a Geography department, intended for students specializing in Geographic Information Systems (GIS).

Reference

Dorman, Michael

Atlases & Maps

Chapman and Hall/CRC

A web map is an interactive display of geographic information, in the form of a web page, that you can use to tell stories and answer questions. Web maps have numerous advantages over traditional mapping techniques, such as the ability to display up-to-date or even real-time information, easy distribution to end users, and highly customized interactive content. Introduction to Web Mapping teaches you how to develop online interactive web maps and web mapping applications, using standard web technologies: HTML, CSS and JavaScript. The core technologies are introduced in Chapters 1-5, focusing on the specific aspects which are most relevant to web mapping. Chapters 6-13 then implement the material and demonstrate key concepts for building and publishing interactive web maps. 
The book: 
Gives an introduction to fundamental web technologies: HTML, CSS and JavaScript 
Covers Leaflet, the popular open-source JavaScript library for building web maps 
Describes the GeoJSON vector layer format and the Ajax technique for loading data 
Shows how spatial database APIs, such as the CARTO platform, can be combined with a web map to query and display large amounts of data 
Introduces client-side geoprocessing with the Turf.js JavaScript library, for applying spatial operators in the browser 
Demonstrates a complex web mapping application for collecting crowdsourced data, combining Leaflet, CARTO and the Leaflet.draw plugin 
Goes over 69 complete code examples and includes 9 solved exercises for building web maps and web pages (downloadable code is provided in the online supplement) 
The book is intended for beginners with no background in web technologies or programming. Nevertheless, some prior experience with computers and programming is beneficial. The book can be used for self-study, or as a textbook in a standard undergraduate "Web mapping" course in a Geography department, intended for students specializing in Geographic Information Systems (GIS).

Details examples of dirty politics practiced throughout the nation's history including ballot fraud, election rigging, spying, sabotage, and smear campaigns. Discusses Watergate and moves for reform.

Dirty politics: From 1776 to Watergate

DELACORTE PRESS

Traces government investigations of communist and subversive activities in the United States.

Witch hunt: The underside of American democracy

Politics & Social Sciences

Politics & Government

Blood and Revenge

Dell

Geocomputation with Python (Chapman & Hall/CRC The Python Series)

Computers & Technology

Graser, Anita

Lovelace, Robin

Nowosad, Jakub

Software

Leverage the power of R to elegantly manage crucial geospatial analysis tasksAbout This Book<ul>
<li>Write powerful R scripts to manipulate your spatial data</li>
<li>Gain insight from spatial patterns utilizing R's advanced computation and visualization capabilities</li>
<li>Work within a single spatial analysis environment from start to finish</li>
</ul>Who This Book Is ForThis book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers, educators, and students who work with spatial data and who are interested in expanding their capabilities through programming. The book assumes familiarity with the basic geographic information concepts (such as spatial coordinates), but no prior experience with R and/or programming is required. By focusing on R exclusively, you will not need to depend on any external software—a working installation of R is all that is necessary to begin.What You Will Learn<ul>
<li>Make inferences from tables by joining, reshaping, and aggregating</li> <li>Familiarize yourself with the R geospatial data analysis ecosystem</li> <li>Prepare reproducible, publication-quality plots and maps</li> <li>Efficiently process numeric data, characters, and dates</li> <li>Reshape tabular data into the necessary form for the specific task at hand</li> <li>Write R scripts to automate the handling of raster and vector spatial layers</li> <li>Process elevation rasters and time series visualizations of satellite images</li> <li>Perform GIS operations such as overlays and spatial queries between layers</li> <li>Spatially interpolate meteorological data to produce climate maps</li> </ul>In DetailR is a simple, effective, and comprehensive programming language and environment that is gaining ever-increasing popularity among data analysts.
This book provides you with the necessary skills to successfully carry out complete geospatial data analyses, from data import to presentation of results.
Learning R for Geospatial Analysis is composed of step-by-step tutorials, starting with the language basics before proceeding to cover the main GIS operations and data types. Visualization of spatial data is vital either during the various analysis steps and/or as the final product, and this book shows you how to get the most out of R's visualization capabilities. The book culminates with examples of cutting-edge applications utilizing R's strengths as a statistical and graphical tool.

Learning R for Geospatial Analysis

Computer Science

Packt Pub Ltd

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