0
Your cart

Your cart is empty

Books > Professional & Technical > Environmental engineering & technology

Not currently available

GIS Mapping and Prediction of NO2 Using ANN Model in Rawalpindi City (Paperback) Loot Price: R1,300
Discovery Miles 13 000
GIS Mapping and Prediction of NO2 Using ANN Model in Rawalpindi City (Paperback): Sheikh Saeed Ahmad, Munir Hussain Naveed

GIS Mapping and Prediction of NO2 Using ANN Model in Rawalpindi City (Paperback)

Sheikh Saeed Ahmad, Munir Hussain Naveed

 (sign in to rate)
Loot Price R1,300 Discovery Miles 13 000 | Repayment Terms: R122 pm x 12*

Bookmark and Share

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

The book will serve as basic guideline for post-graduate students initiating their research work in newly emerging field of eco-informatics. The integration of GIS with eco-informatics will increase the visualization and analysis of the data collected and enhance the understanding.. The basic objective of this book is to bring together the two different approaches of GIS and eco-informatics together for analyzing and quantifying the results. It can be used as a reference book for PhD students in disciples such as Ecology, Forestry, Geography, Cartography, Soft-ware-engineering and other related disciplines.

General

Imprint: VDM Verlag
Country of origin: Germany
Release date: June 2011
First published: June 2011
Authors: Sheikh Saeed Ahmad • Munir Hussain Naveed
Dimensions: 229 x 152 x 4mm (L x W x T)
Format: Paperback - Trade
Pages: 64
ISBN-13: 978-3-639-36432-3
Categories: Books > Professional & Technical > Environmental engineering & technology > General
LSN: 3-639-36432-5
Barcode: 9783639364323

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

Partners