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Integrate Google Maps with your Android application to offer feature-rich and interactive maps About This Book Set up the development environment and obtain the Google API key to create your first map application Create a cutting edge Google maps application by implementing all the concepts learned A step-by-step tutorial guide that is full of pragmatic examples Who This Book Is For If you are an Android developer and want to integrate maps into your application, then this book is definitely for you. This book is intended for novice Android application developers who would like to get up and running with map rich applications using Google Maps. Some basic development experience would be helpful but it's not a mandate. What You Will Learn Get to know about the basic development environment setup needed to create a successful map application Generate an SHA1 fingerprint, obtain an API key, and create a basic map application Detect different types of maps and implement them in your application Add information to your map such as markers, overlays, information windows, and shapes Explore the interaction with maps and work with gestures Change the different camera views in your map application Work with real-time GPS location data and implementing it in your application Apply Street View and integrate the StreetViewPanoroma fragment to your application Employ the native Google maps application to solve some of the tasks using intents Create a cutting edge Google maps application by implementing all the concepts learned In Detail This book helps you to overcome the most common problems faced by users and helps you create a successful map application without any hassle. The book starts with a brief description of how to set up an environment and obtain an API key to create your map application. This book will teach you about adding markers, overlays, and information windows to the map in detail. You will then dive deep into customizing various types of maps and working with location data and Google Street view. By the end of this book, you will be able to create succinct map applications in Android using Google maps efficiently. Style and approach The book is tailored for the reader with a fundamental approach to Android Google Maps providing a step-by-step introduction to Android Google Maps. It focuses on simple, easy-to-understand examples that are pragmatic and serve as useful basis for real-world applications. Different topics are approached in ...

Application software --- Development. --- Google Maps. --- Android (Electronic resource)

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If you are a GIS professional who intends to explore advanced techniques and get more out of GeoServer deployment rather than simply delivering good looking maps, then this book is for you.

Application program interface (Computer software) --- Geology --- Google maps. --- Geognosy --- Geoscience --- Earth sciences --- Natural history --- Geographic information systems.

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This book is about the next generation of the Google Maps API. It will provide the reader with the skills and knowledge necessary to incorporate Google Maps version 3 on web pages in both desktop and mobile browsers. It also describes how to deal with common problems that most map developers encounter at some point, like performance and usability issues with having too many markers and possible solutions to that. Introduction to the Google Maps API version 3 Solutions to common problems most developers encounters (too many markers, common JavaScript pitfalls) Best practices using HTML/CSS/JavaScript and Google Maps.

Cartographics. --- Google maps. --- Maps. --- Geology --- Application program interfaces (Computer software) --- Engineering & Applied Sciences --- Geography --- Computer Science --- Geography-General --- Earth & Environmental Sciences --- Geographic information systems --- Information Technology --- Computer Science (Hardware & Networks) --- APIs (Computer software) --- Interfaces, Application program (Computer software) --- Geognosy --- Geoscience --- Computer science. --- Computer Science. --- Computer Science, general. --- Computer programming. --- Software engineering. --- Web Development. --- Software Engineering/Programming and Operating Systems. --- Computer software engineering --- Engineering --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Programming --- Geographic information systems. --- Google Maps. --- Cosmography --- Earth sciences --- World history

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Have a Google Maps mashup that you'd like to expose to millions of users on maps.google.com? New to the mapping craze, but have an idea for a killer map–based application? Want to learn how to create GeoRSS and KML feeds with your geotagged content, exposing your customer to new ways of exploring and navigating your content? Google Maps Mashups with Google Mapplets Is the first book to cover Google's Mapplet technology Shows you how to create Google Maps–based applications and publish to maps.google.com Provides a single–source resource and practical guide to Mapplets and mashups Teaches you how to mash up Mapplets using location–specific data Includes examples of real–world applications.

Application program interfaces (Computer software) --- Geographic information systems. --- Maps --- Mashups (World Wide Web) --- Computer network resources. --- Google Maps. --- World Wide Web --- Plans --- Cartographic materials --- Geography --- Cartography --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- APIs (Computer software) --- Interfaces, Application program (Computer software) --- Application software --- Information Technology --- Computer Science (Hardware & Networks) --- General and Others --- Computer programming. --- Software engineering. --- Web Development. --- Software Engineering/Programming and Operating Systems. --- Computer software engineering --- Engineering --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Programming

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This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water

natural hazards & --- artificial neural network --- flood routing --- the Three Gorges Dam --- backtracking search optimization algorithm (BSA) --- lag analysis --- artificial intelligence --- classification and regression trees (CART) --- decision tree --- real-time --- optimization --- ensemble empirical mode decomposition (EEMD) --- improved bat algorithm --- convolutional neural networks --- ANFIS --- method of tracking energy differences (MTED) --- adaptive neuro-fuzzy inference system (ANFIS) --- recurrent nonlinear autoregressive with exogenous inputs (RNARX) --- disasters --- flood prediction --- ANN-based models --- flood inundation map --- ensemble machine learning --- flood forecast --- sensitivity --- hydrologic models --- phase space reconstruction --- water level forecast --- data forward prediction --- early flood warning systems --- bees algorithm --- random forest --- uncertainty --- soft computing --- data science --- hydrometeorology --- LSTM --- rating curve method --- forecasting --- superpixel --- particle swarm optimization --- high-resolution remote-sensing images --- machine learning --- support vector machine --- Lower Yellow River --- extreme event management --- runoff series --- empirical wavelet transform --- Muskingum model --- hydrograph predictions --- bat algorithm --- data scarce basins --- Wilson flood --- self-organizing map --- big data --- extreme learning machine (ELM) --- hydroinformatics --- nonlinear Muskingum model --- invasive weed optimization --- rainfall–runoff --- flood forecasting --- artificial neural networks --- flash-flood --- streamflow predictions --- precipitation-runoff --- the upper Yangtze River --- survey --- parameters --- Haraz watershed --- ANN --- time series prediction --- postprocessing --- flood susceptibility modeling --- rainfall-runoff --- deep learning --- database --- LSTM network --- ensemble technique --- hybrid neural network --- self-organizing map (SOM) --- data assimilation --- particle filter algorithm --- monthly streamflow forecasting --- Dongting Lake --- machine learning methods --- micro-model --- stopping criteria --- Google Maps --- cultural algorithm --- wolf pack algorithm --- flood events --- urban water bodies --- Karahan flood --- St. Venant equations --- hybrid & --- hydrologic model