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All the Roads of Texas from the interstates to the backroads. With a comprehensive index listing of 4,000 cities, towns and communities, this is the most complete and easy to read map publication for traveling the farm and county roads to the freeways and tollways in Texas.
Old Ordnance Survey Maps of Westmorland
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. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/.
Visual Interfaces to Digital Libraries exploit the power of human vision and spatial cognition to help individuals mentally organize and electronically access and manage large and complex information spaces. They draw on progress in the field of information visualization and seek to shift the users' mental load from slow reading to faster perceptual processes such as visual pattern recognition. Based on two workshops, the book presents an introductory overview as well as a closing listing of the top ten problems in the area by the volume editors. Also included are 16 thoroughly reviewed and revised full papers organized in topical sections on visual interfaces to documents, document parts, document variants, and document usage data; visual interfaces to image and video documents; visualization of knowledge domains; cartographic interfaces to digital libraries; and a general framework.