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Learn To Geocode
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Download or read book Learn to Geocode written by Ian Allan and published by . This book was released on 2020-01-10 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you been trying to learn geocoding without any luck? Follow the steps in this QGIS tutorial and you'll be geocoding your own spreadsheet in no-time!In Learn Geocoding in QGIS 3 I teach you... * Generic geocoding concepts - why geocodes are important and how to improve your geocoding hit rate. * How to format your addresses in preparation for geocoding using both spreadsheet formulas and SQL in QGIS.* How to geocode in QGIS using the MMQGIS geocoding plugin - geocode an address using the MMQGIS google maps geocoder, street line geocoder, and address point geocoder.*** Includes downloadable course dataset
Book Synopsis E-Learning for Geographers: Online Materials, Resources, and Repositories by : Rees, Philip
Download or read book E-Learning for Geographers: Online Materials, Resources, and Repositories written by Rees, Philip and published by IGI Global. This book was released on 2008-11-30 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a useful reference to the latest advancements in the area of educational technology and e-learning"--Provided by publisher.
Book Synopsis Learn Python by Building Data Science Applications by : Philipp Kats
Download or read book Learn Python by Building Data Science Applications written by Philipp Kats and published by Packt Publishing Ltd. This book was released on 2019-08-30 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the constructs of the Python programming language and use them to build data science projects Key FeaturesLearn the basics of developing applications with Python and deploy your first data applicationTake your first steps in Python programming by understanding and using data structures, variables, and loopsDelve into Jupyter, NumPy, Pandas, SciPy, and sklearn to explore the data science ecosystem in PythonBook Description Python is the most widely used programming language for building data science applications. Complete with step-by-step instructions, this book contains easy-to-follow tutorials to help you learn Python and develop real-world data science projects. The “secret sauce” of the book is its curated list of topics and solutions, put together using a range of real-world projects, covering initial data collection, data analysis, and production. This Python book starts by taking you through the basics of programming, right from variables and data types to classes and functions. You’ll learn how to write idiomatic code and test and debug it, and discover how you can create packages or use the range of built-in ones. You’ll also be introduced to the extensive ecosystem of Python data science packages, including NumPy, Pandas, scikit-learn, Altair, and Datashader. Furthermore, you’ll be able to perform data analysis, train models, and interpret and communicate the results. Finally, you’ll get to grips with structuring and scheduling scripts using Luigi and sharing your machine learning models with the world as a microservice. By the end of the book, you’ll have learned not only how to implement Python in data science projects, but also how to maintain and design them to meet high programming standards. What you will learnCode in Python using Jupyter and VS CodeExplore the basics of coding – loops, variables, functions, and classesDeploy continuous integration with Git, Bash, and DVCGet to grips with Pandas, NumPy, and scikit-learnPerform data visualization with Matplotlib, Altair, and DatashaderCreate a package out of your code using poetry and test it with PyTestMake your machine learning model accessible to anyone with the web APIWho this book is for If you want to learn Python or data science in a fun and engaging way, this book is for you. You’ll also find this book useful if you’re a high school student, researcher, analyst, or anyone with little or no coding experience with an interest in the subject and courage to learn, fail, and learn from failing. A basic understanding of how computers work will be useful.
Book Synopsis Geocoding with ADMATCH by : Census Use Study (Organization)
Download or read book Geocoding with ADMATCH written by Census Use Study (Organization) and published by . This book was released on 1971 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Map Scripting 101 by : Adam DuVander
Download or read book Map Scripting 101 written by Adam DuVander and published by No Starch Press. This book was released on 2010 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Websites like MapQuest and Google Maps have transformed the way we think about maps. But these services do more than offer driving directions, they provide APIs that web developers can use to build highly customized map-based applications. The author, Adam DuVander, delivers 73 useful scripts, examples that will s how you how to create interactive maps and mashups."--[book cover]
Book Synopsis Learning Geospatial Analysis with Python by : Joel Lawhead
Download or read book Learning Geospatial Analysis with Python written by Joel Lawhead and published by Packt Publishing Ltd. This book was released on 2019-09-27 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applications Key Features Create GIS solutions using the new features introduced in Python 3.7 Explore a range of GIS tools and libraries such as PostGIS, QGIS, and PROJ Learn to automate geospatial analysis workflows using Python and Jupyter Book DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.What you will learn Automate geospatial analysis workflows using Python Code the simplest possible GIS in just 60 lines of Python Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Understand the different formats that geospatial data comes in Produce elevation contours using Python tools Create flood inundation models Apply geospatial analysis to real-time data tracking and storm chasing Who this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.
Book Synopsis Hands-On Data Visualization by : Jack Dougherty
Download or read book Hands-On Data Visualization written by Jack Dougherty and published by O'Reilly Media. This book was released on 2021-04-30 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
Book Synopsis Hands-On Data Visualization by : Jack Dougherty
Download or read book Hands-On Data Visualization written by Jack Dougherty and published by "O'Reilly Media, Inc.". This book was released on 2021-03-11 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization takes you step-by-step through tutorials, real-world examples, and online resources. This practical guide is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
Book Synopsis Geocoding Health Data by : Gerard Rushton
Download or read book Geocoding Health Data written by Gerard Rushton and published by CRC Press. This book was released on 2007-11-19 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past, disease pattern mapping depended on census tracts based on political units, such as states and counties. However, with the advent of geographic information systems (GIS), researchers can now achieve a new level of precision and flexibility in geographic locating. This emerging technology allows the mapping of many different kinds of ge
Author :The AEJMC Elected Standing Committee on Teaching Publisher :Rowman & Littlefield ISBN 13 :1538100541 Total Pages :173 pages Book Rating :4.5/5 (381 download)
Book Synopsis Master Class by : The AEJMC Elected Standing Committee on Teaching
Download or read book Master Class written by The AEJMC Elected Standing Committee on Teaching and published by Rowman & Littlefield. This book was released on 2017-12-28 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Master Class: Teaching Advice for Journalism and Mass Communication Instructors, members of the AEJMC Elected Standing Committee on Teaching take readers behind the scenes to explain the teaching strategies, preparation tips, exercises, and project ideas that have, in many cases, earned them university and national teaching awards. It is designed to benefit everyone from instructors-in-training who are about to teach their first class to more experienced professors who are looking for ways to freshen their approach in the classroom. A companion website with additional resources can be found at http://www.aejmc.org/home/resources/teaching-help/.
Book Synopsis Geocomputation with R by : Robin Lovelace
Download or read book Geocomputation with R written by Robin Lovelace and published by CRC Press. This book was released on 2019-03-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. 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 in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.
Book Synopsis Geographic Information by : Wade Bishop
Download or read book Geographic Information written by Wade Bishop and published by Springer. This book was released on 2016-10-27 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The history and future of geographic information (GI) in the context of big data creates new avenues of concern over its organization, access and use. In this book the authors explore both the background and present challenges facing the preservation of GI, focusing on the roles of librarians, archivists, data scientists, and other information professionals in the creation of GI records for its organization, access, and use.
Book Synopsis Learning ArcGIS Runtime SDK for .NET by : Ron Vincent
Download or read book Learning ArcGIS Runtime SDK for .NET written by Ron Vincent and published by Packt Publishing Ltd. This book was released on 2016-06-30 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build native, cross-platform mapping apps with this comprehensive and practical guide, using the MVVM pattern About This Book Enhance the user experience with the power of ArcGIS runtime SDK for .NET. This clear, well segregated book has all the information you need on ArcGIS Runtime SDK. Just name it—this book has it! This highly practical book empowers you to build your own custom application! Get to know the inner details of ArcGIS Runtime SDK from our experts, in this book written by Ron Vincent, with 24 years' experience in the GIS industry and many in GIS training. Who This Book Is For This book caters to long-term users of Esri's technologies that are new to mobile development or are transitioning from older Esri technologies such as ArcGIS Engine. It is also for users who are unfamiliar with Esri or GIS and are in need of a mapping solution for either their desktop or a mobile platform, or both. The book requires knowledge of .NET. What You Will Learn Understand and implement the MVVM pattern using MVVM Light Create and add layers from offline and online resources such as ArcGIS Online or ArcGIS for Server Create a 2D or 3D map and decide what kind of symbology to use Symbolize the layers based on the geometry Search and find objects in the layers Geocode an address and create a route using an address Edit layer objects from online content and offline content Test the application using test-driven development and then build and release the application for the intended audience In Detail ArcGIS is a geographic information system (GIS) that enables you to work with maps and geographic information. It can be used to create and utilize maps, compile geographic data, analyze mapped information, share and discover geographic information and manage geographic information in a database. This book starts by showing you where ArcGIS Runtime fits within Esri's overall platform strategy. You'll create an initial map using the SDK, then use it to get an understanding of the MVVM model. You'll find out about the different kinds of layers and start adding layers, and you'll learn to transform maps into a 3D scene. The next chapters will help you comprehend and extract information contained in the maps using co-ordinates and layer objects. Towards the end, you will learn to set the symbology, decide whether to use 2D or 3D, see how to implement 2D or 3D, and learn to search and find objects. You'll also get to grips with many other standard features of the Application Programming Interface (API), including create applications and finally testing, licensing, and deploying them. Once completed, you will be able to meet most of the common requirements of any mapping application for desktop or mobile platforms. Style and approach This comprehensive book takes a completely practical approach, where every chapter explains the important concepts and demonstrates a practical application of them in a hands-on manner.
Book Synopsis Topological Principles in Cartography by : James P. Corbett
Download or read book Topological Principles in Cartography written by James P. Corbett and published by . This book was released on 1979 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deep Learning with Structured Data by : Mark Ryan
Download or read book Deep Learning with Structured Data written by Mark Ryan and published by Simon and Schuster. This book was released on 2020-12-08 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Summary Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Here’s a dirty secret: Half of the time in most data science projects is spent cleaning and preparing data. But there’s a better way: Deep learning techniques optimized for tabular data and relational databases deliver insights and analysis without requiring intense feature engineering. Learn the skills to unlock deep learning performance with much less data filtering, validating, and scrubbing. About the book Deep Learning with Structured Data teaches you powerful data analysis techniques for tabular data and relational databases. Get started using a dataset based on the Toronto transit system. As you work through the book, you’ll learn how easy it is to set up tabular data for deep learning, while solving crucial production concerns like deployment and performance monitoring. What's inside When and where to use deep learning The architecture of a Keras deep learning model Training, deploying, and maintaining models Measuring performance About the reader For readers with intermediate Python and machine learning skills. About the author Mark Ryan is a Data Science Manager at Intact Insurance. He holds a Master's degree in Computer Science from the University of Toronto. Table of Contents 1 Why deep learning with structured data? 2 Introduction to the example problem and Pandas dataframes 3 Preparing the data, part 1: Exploring and cleansing the data 4 Preparing the data, part 2: Transforming the data 5 Preparing and building the model 6 Training the model and running experiments 7 More experiments with the trained model 8 Deploying the model 9 Recommended next steps
Book Synopsis Learning Node.js Development by : Andrew Mead
Download or read book Learning Node.js Development written by Andrew Mead and published by Packt Publishing Ltd. This book was released on 2018-01-31 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive, easy-to-follow guide to creating complete Node apps and understanding how to build, deploy, and test your own apps. Key Features Entirely project-based and practical Explains the "Why" of Node.js features, not just the "how", providing you with a deep understanding and enabling you to easily apply concepts in your own applications Covers the full range of technologies around Node.js – NPM, version control with Git, and much more Book Description Learning Node.js Development is a practical, project-based book that provides you with all you need to get started as a Node.js developer. Node is a ubiquitous technology on the modern web, and an essential part of any web developers' toolkit. If you are looking to create real-world Node applications, or you want to switch careers or launch a side project to generate some extra income, then you're in the right place. This book has been written around a single goal—turning you into a professional Node developer capable of developing, testing, and deploying real-world production applications. Learning Node.js Development is built from the ground up around the latest version of Node.js (version 9.x.x). You'll be learning all the cutting-edge features available only in the latest software versions. This book cuts through the mass of information available around Node and delivers the essential skills that you need to become a Node developer. It takes you through creating complete apps and understanding how to build, deploy, and test your own Node apps. It maps out everything in a comprehensive, easy-to-follow package designed to get you up and running quickly. What you will learn Learn the fundamentals of Node Build apps that respond to user input Master working with servers Learn how to test and debug applications Deploy and update your apps in the real world Create responsive asynchronous web applications Who this book is for This book targets anyone looking to launch their own Node applications, switch careers, or freelance as a Node developer. You should have a basic understanding of JavaScript in order to follow this course.
Book Synopsis Fundamentals of Crime Mapping by : Bryan Hill
Download or read book Fundamentals of Crime Mapping written by Bryan Hill and published by Jones & Bartlett Learning. This book was released on 2013-03-18 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Revised and Updated Edition of a Bestselling GIS Text Fundamentals of Crime Mapping, Second Edition walks readers through the research, theories, and history of geographic information systems used in law enforcement. Practical, comprehensive, and highly accessible, the revised and updated Second Edition of this bestselling text explains the day-to-day application of crime analysis for mapping. The text is packed with relevant real-world scenarios that contextualize key concepts and reflect actual crime patterns, trends, and series. Students will develop the skills to analyze and synthesize information and transition classroom-based knowledge to careers in the fast-growing field of law enforcement. Special topics discussed include current basic mapping terminology, crime trends in rural and urban areas, the major ecological theories of crime, geographic profiling, and empirical research using crime mapping tools. The Second Edition incorporates all-new material, including new chapters on the basics of cartography and police methodologies and their impact on crime mapping, as well as all-new exercises using ArcGIS 10. Fundamentals of Crime Mapping, Second Edition helps to equip any practitioner of crime mapping and its related fields with the tools and understanding necessary to meet the challenges of the day. A DVD containing the data files to complete the exercises available within the printed text and the companion website are not included in the purchase of an eBook nor a used text.
