Lining Up Data in ArcGIS: A Guide to Map Projections |
 | Author: Margaret M. Maher Publisher: ESRI Press Category: Book
List Price: $24.95 Buy New: $15.96 as of 9/5/2010 17:47 CDT details You Save: $8.99 (36%)
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Seller: supermoviedeals Rating: 1 reviews
Media: Paperback Pages: 200 Number Of Items: 1 Shipping Weight (lbs): 1.4 Dimensions (in): 10 x 8 x 0.6
ISBN: 1589482492 Dewey Decimal Number: 910.285 EAN: 9781589482494
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| • | ISBN13: 9781589482494 | | • | Condition: New | | • | Notes: BUY WITH CONFIDENCE, Over one million books sold! 98% Positive feedback. Compare our books, prices and service to the competition. 100% Satisfaction Guaranteed |
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Product Description
Data misalignment is one of the biggest issues faced by GIS users. A member of the ESRI support services team, author, Margaret Maher has closed more than 12,000 incidents relating to projections and data conversion. Lining Up Data in ArcGIS is a practical guide to solving these problems, based on Maher’s decade of experience helping GIS users find resolution. This book presents techniques to identify data projections and create custom projections to align data. Formatted for practical use, each chapter can stand alone, addressing specific issues related to working with coordinate systems. Lining Up Data in ArcGIS: A Guide to Map Projections is a handbook that will benefit new and skilled GIS users alike.
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Customer Reviews: A top pick for any computer and technology collection focusing on data programs June 16, 2010 Midwest Book Review (Oregon, WI USA) 0 out of 8 found this review helpful
Presenting it in a simplistic and easy to use way, map data can deliver facts quickly and efficiently. "Lining Up Data in ArcGIS: A Guide to Map Projections" is a guide to understanding the program ArcGIS and what it can do for making the maps one needs. With step by step instructions assisted by full color photographs and diagrams, Margaret M. Maher presents a complete and comprehensive guide to help users of the program master it. "Lining Up Data in ArcGIS" is a top pick for any computer and technology collection focusing on data programs.
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