{
"item_title" : "Advanced Mapping of Environmental Data",
"item_author" : [" Mikhail Kanevski "],
"item_description" : "This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.",
"item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/84/821/060/1848210604_b.jpg",
"price_data" : {
"retail_price" : "203.95", "online_price" : "203.95", "our_price" : "203.95", "club_price" : "203.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Advanced Mapping of Environmental Data
Overview
This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9781848210608
- ISBN-10: 1848210604
- Publisher: Wiley-Iste
- Publish Date: December 2008
- Dimensions: 9.2 x 6.2 x 0.9 inches
- Shipping Weight: 1.35 pounds
- Page Count: 352
Related Categories
