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Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping Hardcover – May 9, 2011

ISBN-13: 978-1420069761 ISBN-10: 1420069764 Edition: 1st

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Product Details

  • Hardcover: 184 pages
  • Publisher: CRC Press; 1 edition (May 9, 2011)
  • Language: English
  • ISBN-10: 1420069764
  • ISBN-13: 978-1420069761
  • Product Dimensions: 6.1 x 0.5 x 9.2 inches
  • Shipping Weight: 13.6 ounces (View shipping rates and policies)
  • Average Customer Review: 2.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,919,419 in Books (See Top 100 in Books)

Editorial Reviews

Review

"[This book] covers many topics that are poorly treated by others. ... Chapter 2 on sampling is a true gem. It covers all the standard approaches, but in addition has an extensive discussion of multiphase or double sampling which Kalkhan has used extensively in his own research. There is also an extensive discussion of a case study in which a pixel nested plot (PNP) sampling design is used. This is useful material for researchers and course instructors alike. ... This reviewer enjoyed Chapter 4 immensely. It provides a stimulating discussion of geospatial analysis and modeling including the topics of variogram fitting and kriging. These are pitched at just the right level for most applied researchers who want to use these approaches as a tool to solve their spatial analysis problems. A particular treat is the explanation of spatial autoregressive approaches, binary classification trees and the GARP genetic algorithm. These are topics invariably neglected in many of the standard texts."
—Nigel Waters, Geomatica, Vol. 65, No. 4, 2011

About the Author

Dr. Mohammed A. Kalkhan has over 20 years experience in research and teaching at Colorado State University in Fort Collins, Colorado. As a member of the Natural Resource Ecology Laboratory (NREL) there, he has also served as an affiliate faculty in the Department of Forest, Rangeland, and Watershed Stewardship, and as an advisor for the Interdisciplinary Graduate Certificate in Geospatial Science, Graduate Degree Program in Ecology (GDPE), The School of Global Environmental Sustainability (SOGES), and Department of Earth Resources (currently the Department of Geosciences) at Colorado State University (CSU).

Dr. Kalkhan received his BSc in Forestry (1973) and MSc in Forest Mensuration (1980) from the College of Agriculture and Forestry, the University of Mosul, Iraq. He received his PhD in forest biometrics- remote sensing applications from the Department of Forest Sciences at Colorado State University, USA, in 1994. From 1975 to 1982, he was a lecturer in the Department of Forestry, College of Agriculture and Forestry, University of Mosul. In 1994, he joined the Natural Resource Ecology Laboratory.

Dr. Kalkhan’s main interests are in the integration of field data, remote sensing, and GIS with geospatial statistics to understand landscape parameters through the use of a complex model with thematic mapping approaches, including sampling methods and designs, biometrics, determination of uncertainty and mapping accuracy assessment.


More About the Author

Mohammed A. Kalkhan, PhD (Biography)

Dr. Mohammed A. Kalkhan has over 20 years experience in research and teaching at Colorado State University in Fort Collins, Colorado. As a member of the Natural Resource Ecology Laboratory (NREL) there, he has also served as an affiliate faculty in the Department of Forest, Rangeland, and Watershed Stewardship, and as an advisor for the Interdisciplinary Graduate Certificate in Geospatial Science, Graduate Degree Program in Ecology (GDPE), The School of Global Environmental Sustainability (SOGES), and Department of Earth Resources, (currently the Department of Geosciences) at Colorado State University (CSU). Dr. Kalkhan received his BSc in Forestry (minor in General Agricultural Sciences, 1973) and MSc in Forest Mensuration (1980) from the College of Agriculture and Forestry, the University of Mosul, Iraq. He received his PhD in forest biometrics- remote sensing applications from the Department of Forest Sciences at Colorado State University, USA, in 1994. From 1975 to 1982, he was a lecturer in the Department of Forestry, College of Agriculture and Forestry, University of Mosul, Iraq. In 1994, he joined the Natural Resource Ecology Laboratory. He has served on a number of Program Planning Committees including: Monitoring Science and Technology Symposium - Unifying Knowledge for Sustainability in the Western Hemisphere, Sponsored by the USDA Forest Service and EPA; NASA-USGS Invasive Species Tasks; USGS-NPS Mapping, NASA, USDA- Agriculture Research Service (ARS) on a research program to develop predictive spatial models and maps for Leafy spurge at Theodore Roosevelt National Park, North Dakota using hyperspectral imaging from NASA EO-1 Hyperion (Space), NASA AVIRIS (High altitude aircraft), ARS (CASI- Low altitude aircraft); and The First Conference on Fire, Fuels, Treatments and Ecological Restoration: Proper Place, Appropriate Time. Dr. Kalkhan is also a member of the Consortium for Advancing the Monitoring of Ecosystem Sustainability in America (CAMESA).

Dr. Kalkhan's main interests are in the integration of field data, GIS, and remote sensing with geospatial statistics to understand landscape parameters through the use of a complex model with thematic mapping approaches, including sampling methods and designs, biometrics, determination of uncertainty and mapping accuracy assessment. Research applications have included wildfire ecology, wetlands analysis, land use and land cover change, environmental sustainability, ecological forecasting- invasive species, and plant diversity studies. He is also interested in applications for the development-building of national capacity and technology transfer in developing regions. His research has been aimed at developing a better understanding of landscape-scale ecosystems at any level and to develop better tools for ecological-environmental forecasting. The challenge is to develop new tools based on geospatial information and mathematics-statistics to forecast landscape-scale characteristics.

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Most Helpful Customer Reviews

5 of 5 people found the following review helpful By Francesco on October 6, 2011
Format: Hardcover Verified Purchase
As soon as I saw this book was coming out I was super enthusiastic...I graduated in statistics and my concentration is spatial statistics. Since I love GIS and remote sensing, I thought this book was the one I was waiting for long time. Overall, the book summarizes the main concepts, remote sensing data acquisition procedures, etc. BUT...the book has several errors, figures not matching the number cited in the text, poor explanation on how to interpret some of the plots and a very bad spatial sampling section. I think the goals and intentions of the author are good, but the execution is very poor compared to what the title promises. Bottom line...look for some better book in spatial statistics and GIS/remote sensing.
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