👨‍💼 CUSTOMER CARE NO +918468865271

⭐ TOP RATED SELLER ON AMAZON, FLIPKART, EBAY & WALMART

🏆 TRUSTED FOR 10+ YEARS

  • From India to the World — Discover Our Global Stores

🚚 Extra 10% + Free Shipping? Yes, Please!

Shop above ₹5000 and save 10% instantly—on us!

THANKYOU10

Elementary Statistics for Geographers

Sale price Rs.7,072.00 Regular price Rs.9,429.00
Tax included


Genuine Products Guarantee

We guarantee 100% genuine products, and if proven otherwise, we will compensate you with 10 times the product's cost.

Delivery and Shipping

Products are generally ready for dispatch within 1 day and typically reach you in 3 to 5 days.

Get 100% refund on non-delivery or defects

On Prepaid Orders

Book Details

  • Publisher: Taylor & Francis

  • Author: David L. Rigby

  • Language: English

  • Edition: 3rd Edition

  • ISBN: 9781572304840

  • Pages: 653

  • Cover: Hardcover

  • Dimensions: 9.5 x 6.4 x 1.4 inches

  • Weight: [Weight] (If available)


About The Book

David L. Rigby’s Statistics in Human and Physical Geography is a uniquely comprehensive text that introduces both the techniques and underlying concepts of statistics in human and physical geography. Unlike many texts that focus solely on statistical methods, this book emphasizes not only how to apply quantitative tools but also why and how they work, offering a deeper understanding of their significance in the field.

This well-structured book is perfect for undergraduate and beginning graduate-level courses, requiring no more than basic algebra. It enables students to develop critical skills in using both conventional and spatial statistics in their own research while providing them the tools to critically assess the work of others. The text is designed with flexibility in mind, with most chapters being self-contained, making it easy to adapt for various course structures.

The 3rd edition has been fully restructured and updated to reflect the latest developments in the field. It includes five entirely new chapters on graphical methods, spatial relationships, analysis of variance, extending regression analysis, and spatial analysis. Additional features include an increased number of worked examples, many with accompanying graphics, along with chapter summaries, suggestions for further reading, and practice problems at the end of each chapter.

A companion website offers access to datasets and solutions for selected exercises, making this textbook an even more valuable resource for both learning and teaching.