Equal-area Projections for World Statistical Maps

Equal-area Projections for World Statistical Maps PDF Author: Felix Webster McBryde
Publisher:
ISBN:
Category : Map projection
Languages : en
Pages : 80

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Book Description

Equal-area Projections for World Statistical Maps

Equal-area Projections for World Statistical Maps PDF Author: Felix Webster McBryde
Publisher:
ISBN:
Category : Map projection
Languages : en
Pages : 80

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Book Description


New Series of Equal-area Projections for World Statistical Maps

New Series of Equal-area Projections for World Statistical Maps PDF Author: Felix Webster McBryde
Publisher:
ISBN:
Category : Map projection
Languages : en
Pages : 18

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New Series of Equal-area World Map Projections and Base-maps

New Series of Equal-area World Map Projections and Base-maps PDF Author: Felix Webster McBryde
Publisher:
ISBN:
Category : Map projection
Languages : en
Pages :

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Equal-Area Projections for World Statistical Maps. By F. W. McBryde ... and Paul D. Thomas. [With maps.].

Equal-Area Projections for World Statistical Maps. By F. W. McBryde ... and Paul D. Thomas. [With maps.]. PDF Author: Felix Webster MACBRYDE
Publisher:
ISBN:
Category :
Languages : en
Pages : 44

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EQUAL-AREA PROJECTIONS FOR WORLD STATISTICAL MAPS; BY F.W. MCBRYDE AND P.D. THOMAS.

EQUAL-AREA PROJECTIONS FOR WORLD STATISTICAL MAPS; BY F.W. MCBRYDE AND P.D. THOMAS. PDF Author:
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages :

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Equal-area Projections for World Statistical Maps

Equal-area Projections for World Statistical Maps PDF Author: Felix Webster MacBryde
Publisher:
ISBN:
Category :
Languages : en
Pages : 44

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Book Description


An Album of Map Projections

An Album of Map Projections PDF Author: John Parr Snyder
Publisher:
ISBN:
Category : Reference
Languages : en
Pages : 266

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Book Description


Geocomputation with R

Geocomputation with R PDF Author: Robin Lovelace
Publisher: CRC Press
ISBN: 1351396900
Category : Mathematics
Languages : en
Pages : 335

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Book Description
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/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

Flattening the Earth

Flattening the Earth PDF Author: John P. Snyder
Publisher: University of Chicago Press
ISBN: 0226767477
Category : History
Languages : en
Pages : 384

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Book Description
Cartographers have long grappled with the impossibility of portraying the earth in two dimensions. To solve this problem, mapmakers have created map projections. This work discusses and illustrates the known map projections from before 500BC to the present, with facts on their origins and use.

Choosing a Map Projection

Choosing a Map Projection PDF Author: Miljenko Lapaine
Publisher: Springer
ISBN: 3319518356
Category : Science
Languages : en
Pages : 363

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Book Description
This book offers a much-needed critical approach to the intelligent use of the wide variety of map projections that are rapidly and inexpensively available today. It also discusses the distortions that are immanent in any map projection. A well-chosen map projection is one in which extreme distortions are smaller than those in any other projection used to map the same area and in which the map properties match its purpose. Written by leading experts in the field, including W. Tobler, F.C. Kessler, S.E. Battersby, M.P. Finn, K.C. Clarke, V.S. Tikunov, H. Hargitai, B. Jenny and N. FranĨula. This book is designed for use by laymen. The book editors are M. Lapaine and E.L. Usery, Chair and Vice-Chair, respectively, of the ICA Commission on Map Projections for the period 2011-2015.