Learn IT - Books tags spatial

ArcPy and ArcGIS: Geospatial Analysis with Python

Packt Publishing, 2015

Use the ArcPy module to automate the analysis and mapping of geospatial data in ArcGIS

About This Book

Perform GIS analysis faster by automating tasks, such as selecting data or buffering data, by accessing GIS tools using scripting

Access the spatial data contained within shapefiles and...

$Super-Resolved Imaging: Geometrical and Diffraction Approaches (SpringerBriefs in Physics)$

Super-Resolved Imaging: Geometrical and Diffraction Approaches (SpringerBriefs in Physics)

Springer, 2011

Super resolution is one of the most fascinating and applicable fields in optical data processing. The urge to obtain highly resolved images using low-quality imaging optics and detectors is very appealing.

The field of super resolution may be categorized into two groups: diffractive and geometrical super...

Spatial AutoRegression (SAR) Model: Parameter Estimation Techniques (SpringerBriefs in Computer Science)

Springer, 2012

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...

Beginning Ajax with PHP: From Novice to Professional

Apress, 2006

Ajax breathes new life into web applications by transparently communicating and manipulating data in conjunction with a server-based technology. Of all the server-based technologies capable of working in conjunction with Ajax, perhaps none are more suitable than PHP, the world's most popular scripting language.

Beginning Ajax with...

Topology of Digital Images: Visual Pattern Discovery in Proximity Spaces

Springer, 2014

This book carries forward recent work on visual patterns and structures in digital images and introduces a near set-based a topology of digital images. Visual patterns arise naturally in digital images viewed as sets of non-abstract points endowed with some form of proximity (nearness) relation. Proximity relations make it possible to...

Oceans: Evolving Concepts

John Wiley & Sons, 2021

Since the HMS Challenger expedition of 1872Â?1876, our vision of the ocean has changed completely. We now understand that it plays a key role in biodiversity, climate regulation, and mineral and biological resources, and as such, the ocean is a major service provider for humanity.

Oceans draws on data from new...

High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)

Artech House Publishers, 2009

Progress in biology is dependent on the ability to observe, measure, and model the behavior of organisms at multiple levels of abstraction, from the microscopic to the macroscopic. There has been a tremendous growth recently in the techniques to probe the structure and workings of cellular and organ-level mechanisms. Significant advances have...

Enhanced Bayesian Network Models for Spatial Time Series Prediction: Recent Research Trend in Data-Driven Predictive Analytics (Studies in Computational Intelligence)

Springer, 2019

This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science.

The...

Ecology, Cognition and Landscape

Springer, 2009

It is more and more evident that our living system is completely disturbed by human intrusion. Such intrusion affects the functioning of entire systems in ways we do not yet fully understand. We use paradigms such as the disturbance to cover large and deep gaps in our scientific knowledge.

Human ecology is an uncertain terrain for...

Contrast Data Mining: Concepts, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

CRC Press, 2012

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems
Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to...

Game Analytics: Maximizing the Value of Player Data

Springer, 2013

Developing a successful game in today’s market is a challenging endeavor. Thousands of titles are published yearly, all competing for players’ time and attention. Game analytics has emerged in the past few years as one of the main resources for ensuring game quality, maximizing success, understanding player behavior and enhancing...

Robust Signal Processing for Wireless Communications (Foundations in Signal Processing, Communications and Networking)

Springer, 2007

Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors.

In this book, a systematic treatment of this practical design...

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