| 9:00 a.m. – 10:30 a.m. |
ArcGIS API for JavaScript, An Introduction
Hall 10, Jade
In this session, we will introduce the ArcGIS API for Javascript within the context of HTML5 and mobile development such as the usage of GeoLocation, local storage and canvas. In addition, we will introduce new design paradigms such as dependency management, Single Page and Responsive layout.
| Mansour Raad, Esri |
What’s New in ArcGIS 10.1 for Server
Hall 10, Pearl
We will introduce the new server architecture and its new components and discuss typical server configuration scenarios (for development, high capacity, high availability, etc.). We will also cover the new RESTful administration API, and enhancements to Services with focus on: map, image, and geoprocessing.
| Marwa Mabrouk, Esri |
Esri Maps for Office
Hall 10, Ruby
Esri Maps for Microsoft Office is a new product that allows you to quickly create dynamic, interactive maps of your Excel data and start exploring it in a whole new way. Esri Maps for Office enables you to uncover patterns and trends not evident in tabular data and charts. The process of creating a map in Excel is painless and is much the same as creating a graph or chart of your data. Maps can be shared immediately through PowerPoint presentations or by one-click publishing to Esri’s mapping cloud, ArcGIS Online. This workshop will demonstrate the value of the product using a number of use case scenarios.
| Nate Bennett, Esri |
Introduction to Model Builder and Python
Hall 10, Sapphire
This session will introduce ModelBuilder, an application that can be used to create, edit, and manage models, by providing a visual interface for stringing together sequences of Geoprocessing tools for executing a workflow. We will cover creating, modifying, and running model tools, as well as basic workflow interaction and properties. We will also look at how to add Python scripts to models in Model Builder to leverage enhanced scripting capabilities.
| Justin Busboom, Esri |
| 11:00 a.m. – 12:30 p.m. |
Designing Smart 3D City Models with CityEngine
Hall 10, Jade
This workshop walks you through a new five-step workflow that transforms your existing 2D GIS data into a Smart 3D City Model. Furthermore you will explore how Smart 3D City Scenes can be shared directly on Esri’s cloud solution ArcGIS Online or on your organizations private web server.
| Geoff Taylor, Esri |
ArcGIS for Mobile Devices: An Overview
Hall 10, Pearl
Mobile GIS Extends the reach of GIS from the office to the field. By implementing an effective mobile GIS solution, you can improve the efficiency of your field work force as well as the accuracy and timeliness of your geospatial data. During this session, you will learn how to leverage Esri’s ArcGIS system to build focused mobile GIS solutions that target the needs of your field work force, others in your organization, and your customers, as well as building focused applications, using the ArcGIS Software Developer Kits for Windows, Windows Mobile, iOS, Windows Phone, and Android devices.
| Jo Fraley, Esri |
ArcGIS Workflow Manager: An Introduction
Hall 10, Ruby
ArcGIS Workflow Manager lets organizations develop and enforce standard, repeatable GIS workflows across the enterprise, thereby ensuring that the right work is completed correctly by the right person or team at the right time. With ArcGIS Workflow Manager, you can greatly improve the efficiency of your GIS operations and the productivity of your teams. In this session, you will learn the concepts of jobs and job management, how to define and execute workflows, how to integrate ArcGIS Workflow Manager with the core ArcGIS System, and the ability to track and report job metrics for your organization.
| Justin Busboom, Esri |
Spatial Pattern Analysis: Mapping Trends and Clusters
Hall 10, Sapphire
This session will introduce you to basic concepts of spatial pattern analysis using tools in the Spatial Statistics toolbox. It will demonstrate how these tools can help you summarize and evaluate geographic distributions, identify statistically significant spatial outliers and spatial clusters (hot spots), and assess broad geographic patterns and trends over time. Epidemiologists, crime analysts, demographers, municipal planners, transportation analysts, archaeologists, wildlife biologists, retail analysts, and many others in the GIS community can use spatial pattern analysis to better understand their data. The tools presented in this session will help you to find patterns and relationships that can be quickly understood and easily communicated to others, facilitating informed discussion and sound decision making.
| Lauren Bennett, Esri |
| 2:00 p.m. – 3:30 p.m. |
BigData, NoSQL and Spatial Analysis
Hall 10, Jade
What is BigData? What is Hadoop? What is Hive? What is MongoDB? Come to this session to learn all the "Big" terms and how spatial elements can be used for analysis and rendering in batch and stream processing modes using ArcPy and Web APIs.
| Mansour Raad, Esri |
Understanding ArcGIS in Virtualization and Cloud Environments
Hall 10, Pearl
Learn about the new features of ArcGIS 10.1 to support Virtualization and Cloud environments. We will also cover typical deployment patterns, and what people are doing with the new capabilities that virtualization and cloud environments offer when used with ArcGIS.
| Marwa Mabrouk, Esri |
Getting Started with ArcGIS Runtime and An Introduction to the ArcGIS Viewers
Hall 10, Ruby
This will be an overview session to introduce what developers need to know to start development with ArcGIS Runtime. With ArcGIS Runtime, developers are able to create custom applications for a wide range of devices and users. There are ArcGIS Runtime SDKs for the following platforms: Windows (WPF), Linux (Java), Android, iOS, Windows Mobile and Phone.
This session will also provide an introduction to the ArcGIS Viewers like the new ArcGIS Viewer for Windows and ArcGIS Viewer for Mac.
| Jo Fraley, Esri |
Modeling Spatial Relationships using Regression Analysis
Hall 10, Sapphire
Regression analysis is a set of statistical methods used in many application areas (e.g., business, defense, education, health and human services, natural resources, and public safety, etc.). Ordinary least squares regression (OLS) and geographically weighted regression (GWR) allow you to examine, model, and explore data relationships. Ultimately, regression analysis helps you answer “why?” questions: “why do we see so much crime or disease in particular areas?”, “what are the factors that contribute to consistently high test scores?”, “why is a species thriving only in particular locations?”. Regression analysis also allows you to predict spatial outcomes for other places or other time periods: “how will improvements to road conditions impact traffic fatalities?”, “how will projected population growth affect the demand for services?”. In this workshop we will cover basic regression analysis concepts and workflows as they relate to the analysis of geographic data. You will learn how to build a properly specified OLS model, interpret regression results and diagnostics, and potentially use the results of regression analysis to design targeted interventions.
| Lauren Bennett, Esri |