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Kernel Smoothing: Principles, Methods and Applications
Kernel Smoothing: Principles, Methods and Applications

Comprehensive theoretical overview of kernel smoothing methods with motivating examples

Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of...

Intelligent Positioning: GIS-GPS Unification
Intelligent Positioning: GIS-GPS Unification
Satellite positioning and computerised spatial data have transformed the way in which many areas of research and commercial activity are conducted. The combination of GIS and GPS is used for a broad spectrum of experiments.

This book provides technical overview of GIS, GPS and their integration, before focusing on a selection of R&D...

Computer Vision and Applications: A Guide for Students and Practitioners (With CD-ROM)
Computer Vision and Applications: A Guide for Students and Practitioners (With CD-ROM)
Computer Vision and Applications, Concise Edition, offers a fresh approach to computer vision by regarding the whole process from image formation to measuring, recognition, or reacting as an integral process. Computer vision is understood as the host of techniques used to acquire, process, analyze, and understand complex,...
Python Geospatial Analysis Cookbook
Python Geospatial Analysis Cookbook

Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python

About This Book

  • Explore the practical process of using geospatial analysis to solve simple to complex problems with reusable recipes
  • Concise step-by-step instructions to teach you...
The R Book
The R Book

R is a high-level language and an environment for data analysis and graphics. The design of R was heavily influenced by two existing languages: Becker, Chambers and Wilks’ S and Sussman’s Scheme. The resulting language is very similar in appearance to S, but the underlying implementation and semantics are derived from Scheme. This...

Modern Statistical Methods for Astronomy: With R Applications
Modern Statistical Methods for Astronomy: With R Applications

Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to...

Spatial AutoRegression (SAR) Model: Parameter Estimation Techniques (SpringerBriefs in Computer Science)
Spatial AutoRegression (SAR) Model: Parameter Estimation Techniques (SpringerBriefs in Computer Science)
Explosive growth in the size of spatial databases has highlighted the need for spatial data analysis and spatial data mining techniques to mine the interesting but implicit spatial patterns within these large databases. Extracting useful and interesting patterns from massive geo-spatial datasets is important for many application...
PostGIS Cookbook
PostGIS Cookbook

For web developers and software architects this book will provide a vital guide to the tools and capabilities available to PostGIS spatial databases. Packed with hands-on recipes and powerful concepts.

Overview

  • Integrate PostGIS with web frameworks and implement OGC standards such as WMS and WFS using...
Fuzzy Modeling with Spatial Information for Geographic Problems
Fuzzy Modeling with Spatial Information for Geographic Problems
"Fuzzy Modelling … is a collection of papers of diverse but interrelated topics on the use of fuzzy logic … . The reader is given enough information and references … . this book will provide an excellent background on fuzzy logic and how it can be applied to a variety of spatial problems. It is also a valuable information...
Imagining the Tenth Dimension: A New Way of Thinking About Time and Space
Imagining the Tenth Dimension: A New Way of Thinking About Time and Space

Reality, today's physicists tell us, is created by the vibrations of exquisitely tiny superstrings in ten spatial dimensions. Ten dimensions? Most of us have barely gotten used to the idea that there are four.

Using simple geometry and an easygoing writing style, author Rob Bryanton starts with the lower dimensions that we are...

Advances in 3D Geoinformation Systems (Lecture Notes in Geoinformation and Cartography)
Advances in 3D Geoinformation Systems (Lecture Notes in Geoinformation and Cartography)

This unique book focuses on comparing several types of 3D models. Due to the rapid developments in sensor techniques a vast amount of 3D data is available. Effective algorithms for (semi) automatic object reconstruction are required. Integration of existing 2D objects with height data is a non-trivial process and needs further research. The...

High-Level Vision: Object Recognition and Visual Cognition
High-Level Vision: Object Recognition and Visual Cognition

In this book, Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In particular, he examines two major problems. The first, object recognition and classification, involves recognizing objects despite large variations in appearance caused by changes in viewing...

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