This book is a tutorial written by researchers and developers behind the FEniCS Project and explores an advanced, expressive approach to the development of mathematical software. If you are a web developer working with geospatial concepts and mapping APIs, and you want to learn Leaflet to create mapping solutions, this book is for you. This book contains over 100 problems that have appeared in previous programming contests, along with discussions of the theory and ideas necessary to attack them. "This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"-- Found inside – Page 60The pixel_size variable is very important since it will determine the size of ... If you have many polygons stretching across the globe in one Shapefile, ... Found insideWith this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas ... Found insideIntroduction to Web Mapping teaches you how to develop online interactive web maps and web mapping applications, using standard web technologies: HTML, CSS and JavaScript. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. Found insideThis book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. All that was familiar is changed into a shadowy, mythical world in which Masonic secrets and never-before-seen revelations seem to be leading him to a single impossible and inconceivable truth... *INCLUDES AN EXTRACT OF ORIGIN, THE NEW ... Found insideThis book focuses on remote sensing for urban deformation monitoring. This is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested ... Found inside – Page 254We therefore assign a consequent weight to the “recreation” activity if we find out that the POI is inside one of these parks and sports polygons yet not ... We have carefully selected a handful of these from recent Global Forum contributions to introduce you to the topic and let you sample what each has to offer. Also available free as a PDF from sas.com/books. This book provides you with the resources to successfully develop your own GIS application in Python. The purpose of this guide is to assist you in producing quality maps by using fully-operational open source software packages: R+gstat/geoR and SAGA GIS. Requires only a basic knowledge of mathematics and is geared toward the general educated specialists. Includes a gallery of color images and Mathematica code listings. This book helps you understand how to organize and describe data that includes geographic content and how to publish it as Linked Data for the Semantic Web, as well as explaining the benefits of doing so. "With Python Tricks: The Book you'll discover Python's best practices and the power of beautiful & Pythonic code with simple examples and a step-by-step narrative."--Back cover. Found insideThis second edition of the cookbook provides generic methodologies and technical steps to produce SOC maps and has been updated with knowledge and practical experiences gained during the implementation process of GSOCmap V1.0 throughout ... Found insideReproduction of the original: Mars and its Canals by Percival Lowell This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. If you are an experienced Python developer who wants to create your own geospatial applications with minimum fuss, this is the book for you. Chapter 5 looks at preparing the data for GIS use and Chapter 6 explores what remote sensing consists of and the main purposes for its use. Chapter 7 discusses the functional tools and techniques offered by typical GIS software packages. Geographic data models are digital frameworks that describe the location and characteristics of things in the world around us. Found insideUsing Python code throughout, Xiao breaks the subject down into three fundamental areas: Geometric Algorithms Spatial Indexing Spatial Analysis and Modelling With its comprehensive coverage of the many algorithms involved, GIS Algorithms is ... Found inside – Page 1Do you want to use R to tell stories? This book was written for you—whether you already know some R or have never coded before. Most R texts focus only on programming or statistical theory. Found inside – Page 104Doing the other 80% of the work with Python, R, and command-line tools ... within a "LinearRing" element, the coordinates (polygon) take the form of lon ... The Handbook of Discrete and Computational Geometry is intended as a reference book fully accessible to nonspecialists as well as specialists, covering all major aspects of both fields. Found insideDrawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to ... This book focuses on the use of open source software for geospatial analysis. Found insideThe only place this will fail is if startLat is within searchRadius meters of ... for cities (and we could always add error-checking code to catch this). This introduction to computational geometry focuses on algorithms. Presents numerical methods for reservoir simulation, with efficient implementation and examples using widely-used online open-source code, for researchers, professionals and advanced students. Found insideThis is the first book written on using Blender (an open-source visualization suite widely used in the entertainment and gaming industries) for scientific visualization. The book shows you how. About the Book Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Found insideThis book is a comprehensive guide to PostGIS tools and concepts which are required to manage, manipulate, and analyze spatial data in PostGIS. Found inside – Page 1You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory ... Found insideThe code in this edition is significantly improved from the first edition (more efficient and more robust), and four new routines are included. Java versions for this new edition are also available. Found insideUsing clear explanations, simple pure Python code (no libraries!) and step-by-step tutorials you will discover how to load and prepare data, evaluate model skill, and implement a suite of linear, nonlinear and ensemble machine learning ... Found insideThe second edition of this best-selling Python book (100,000+ copies sold in print alone) uses Python 3 to teach even the technically uninclined how to write programs that do in minutes what would take hours to do by hand. In this fourth edition of Understanding GIS -- the only book teaching how to conceive, develop, finish, and present a GIS project -- all exercises have been updated to use Esri's ArcGIS Pro software with revamped data. Found insideMaster data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user About This Book Learn how to work with various types of data and create beautiful maps using this easy-to-follow guide Give a touch ... This book is intended for Python programmers who want to do more than just see their data. Experience with GUI toolkits is not required, so this book can be an excellent complement to other GUI programming resources. Found insideIf you want to conduct advanced analysis of spatial data, this book will also help you. The book assumes that you have a working installation of PostGIS in place, and have working experience with PostgreSQL. World around us java versions for this new edition are also available book was written for you! Ll learn the latest versions of the book assumes that you have a working installation PostGIS! One for Python programmers who want to do more than just see their data tools/libraries. 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