ArcGIS for JavaScript开发实战指南

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"《ArcGIS for JavaScript开发者指南：实例教程》是一本实用手册，专为希望通过ArcGIS JavaScript API的强大功能创建强大地图应用的开发人员设计。该书由Jayakrishnan Vijayaraghavan和Yogesh Dhanapal合著，由Packt Publishing于2016年发行。本书详细介绍了如何利用ArcGIS for JavaScript平台进行开发，旨在帮助读者掌握这一技术，并将其应用于实际项目中。该PDF文件来自www.it-ebooks.info网站，它强调版权保护，所有内容未经出版商书面许可不得复制、存储或以任何形式传输。尽管作者和Packt Publishing已经尽力确保信息的准确性，但书中提供的信息并不保证无误，也不构成任何形式的担保。使用者需自行承担使用本书可能带来的风险。在《ArcGIS for JavaScript开发者指南：实例教程》中，读者可以期待学习到诸如API的基础知识、地图交互、数据可视化、地理编码、图层管理、事件处理以及地图服务集成等多个关键领域。通过丰富的实例和实践项目，作者会逐步引导读者构建出功能强大的地图应用，无论是WebGIS开发初学者还是经验丰富的开发者都能从中获益匪浅。此外，本书还包含了对涉及的公司和产品的商标信息，展示了其在地图开发领域的广泛应用和合作伙伴关系。对于那些寻求在JavaScript环境下利用ArcGIS技术提升地图应用能力的开发者来说，这是一本不可或缺的参考资料。通过阅读和实践，读者不仅能提升专业技能，还能紧跟行业动态，推动地理信息技术的创新与发展。"

Table of Contents

[ v ]

Creating a weather widget 161

The open weather API 161

Using the Geolocation API 162

Using geometry engine on input data 163

Displaying the weather data in the widget 164

Summary 167

Chapter 7: Map Analytics and Visualization Techniques 169

Building a demographics analytic portal 169

Basic statistical measures 170

Minimum 171

Maximum 171

Sum 171

Average 171

Standard deviation 171

Standardization 172

Statistical functionality provided by the API 172

StatisticDenition module 172

Classication methods 174

Equal interval 174

Natural breaks 174

Quantile 175

Standard deviation 175

Concept of normalization 176

Feature layer statistics 176

Working with continuous and break renderers 180

ColorInfo 182

Selecting a color scheme 182

Creating a classed color renderer 185

opacityInfo 189

Using opacityInfo to create a classes opacity renderer 189

SizeInfo 191

RotationInfo 191

Multivariate mapping 192

Smart mapping 196

Summary 199

Chapter 8: Advanced Map Visualization and Charting Libraries 201

Charting with dojo 201

Dojo chart themes 202

Charting using the popup template 204

Types of 2D charts provided by dojox modules 206

Dojo charting methods 206

Dening your plot 207

www.it-ebooks.info

Preface

[ viii ]

Chapter 5, Working with Renderers, gives an in-depth treatment on the topic of

colors, symbols, renderers, and the situations where each can be used effectively.

This chapter will also deal with the nuances of data visualization techniques along

with tips and tricks to create symbols and picture marker symbols easily. We will

demonstrate the utility of three basic renderers: simple renderer, unique value

renderer, and class breaks renderer by developing a Stream Gauge app.

Chapter 6, Working with Real-Time Data, will cover in detail what constitutes the

real-time data, and it will also cover how to visualize data and get the most recently

updated data. We will be building a hurricane tracking app to demonstrate this and

will be adding a Global wind data gauge and a weather widget using geometry

engine capability provided by the API and the geolocation feature provided by

modern browsers.

Chapter 7, Map Analytics and Visualization Techniques, will take you a step closer

toward becoming a map data scientist. We will cover a lot of ground in this chapter

starting with a brush up of a few introductory statistics concepts. We will see the

code in action and understand how statistics denition and feature layer statistics

module can give us invaluable statistic measures, which can be used to render the

map data meaningfully. We will then evaluate how to use the visual variables, such

as colorInfo, opacityInfo, rotationInfo, and sizeInfo effectively in a renderer. We will

use the knowledge gained to start building a demographics analytic portal.

Chapter 8, Advanced Map Visualization and Charting Libraries, will be using three

different charting libraries such as dojo, D3.js and Cedar to extend the Demographics

portal we started building in the previous chapter and more provide visual-

analytical information to the users.

Chapter 9, Visualization with Time Aware Layers, will explain how to visualize

spatiotemporal data using TimeSlider dijit, a custom D3.js timeslider as well a custom

Time series Histogram by incorporating these on a Time-aware US Drought data.

What you need for this book

For this book, we'll need NotePad++/Brackets Editor, Google Chrome/Mozilla

Firefox or any modern browser, Visual Studio Community Edition 2015,

and Node.js for Windows.

Who this book is for

This book is for JavaScript developers who wish to develop amazing mapping

applications using the rich set of features provided by the ArcGIS JavaScript API,

but more than this, a spatial frame of mind will help the user go a long way.

www.it-ebooks.info

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