ArcGIS Pro

Raster Analysis and Spatial Analyst session and events at UC 2019

The 2019 Esri User Conference (July 8-12) is almost here. We here on the Raster Analysis team are busy practicing and polishing our presentations and are looking forward to showing you what we’ve been working on since last summer.  If you do any kind of raster or multidimensional analysis, please look at the guide below to help you plan out your time with us.

Expo hall

Visit the UC Expo to meet with us and with several amazing exhibitors. The UC Expo Hall has extended hours on Thursday this year, meaning more time is available for you to come by and get your questions answered.

Tuesday, July 9th         9:00 AM – 6:00 PM

Wednesday, July 10th  9:00 AM – 6:00 PM

Thursday, July 11th      9:00 AM – 4:00 PM

Technical Workshops and Demos

To help target your areas of interest, we’ve categorized workshops and demos relevant to raster analysis with Spatial Analyst into different groups.  In each group, you will find the general purpose of the sessions within the group, followed by the specific session titles in chronological order. Repeat presentations are also listed, in case you are not able to attend the first offering. Finally, remember to check out the Road Ahead sessions for a peek into the future.

1.     Raster Analysis

The ArcGIS platform offers many capabilities for raster analysis, data management, and spatial modeling.  Attend the introductory sessions to get a broad overview of the capabilities for raster analysis.  If your interest is more for specific types of analysis, such as suitability modeling, cost distance modeling, or hydrological modeling, we offer many sessions more specifically focused on those areas.

Raster Analysis
Tuesday, July 9
10:00 AM Spatial Analyst: An Introduction SDCC – Room 30 B
10:00 AM Hydrologic Analysis and Applications in ArcGIS SDCC – Room 33 C
11:15 AM Working With Living Atlas Data: Habitat Modeling SDCC – Expo Demo Theater 11
1:00 PM Interpolating Surfaces in ArcGIS SDCC – Room 33 C
1:15 PM Map Algebra: Getting Started SDCC – Expo Demo Theater 10
1:15 PM Working With Living Atlas Data: Elevation Analysis SDCC – Expo Demo Theater 11
4:00 PM Finding the Best Locations Using Suitability Modeling SDCC – Room 33 C
Wednesday, July 10
8:30 AM Cost Distance Analysis: Identifying the Best Path SDCC – Room 30 C
11:15 AM Surface Interpolation in ArcGIS SDCC – Expo Demo Theater 10
1:15 PM Bobcat Suitability Modeling SDCC – Expo Demo Theater 10
2:30 PM Spatial Analyst: An Introduction SDCC – Room 32 A/B
Thursday, July 11
2:30 PM Finding the Best Locations Using Suitability Modeling SDCC – Room 15 A
4:00 PM Cost Distance Analysis: Identifying the Best Path SDCC – Room 17 A
4:00PM Interpolating Surfaces in ArcGIS SDCC – Room 15 A
4:00 PM Hydrologic Analysis and Applications in ArcGIS SDCC – Room 14 A
Raster Data Management
Tuesday, July 9
10:00 AM Basics of creating a Mosaic Dataset SDCC Demo Theater 2
Thursday, July 11
11:15 AM Managing and Serving Elevation and Lidar Data SDCC Demo Theater 2

2. Raster Analysis using Python

The integration of Map Algebra with Python via the Spatial Analyst ArcPy module offers a broad range of capabilities for raster analysis, data management and automation workflows. With the arcgis.raster module in the ArcGIS Python API, you can perform raster analysis on very large raster datasets in the server environment. Various Python packages also let you extend your analytical power though custom tools, as well as machine and deep learning.

Tuesday, July 9
1:15 PM ArcGIS API for Python: Integrating Machine Learning and Deep Learning SDCC – Expo Demo Theater 08
2:30 PM Python: Raster Analysis SDCC – Room 30 A
Wednesday, July 10
10:00 AM ArcGIS API for Python: Imagery Analysis SDCC – Room 16 A
4:00 PM Python: Raster Analysis SDCC – Room 30 A

3.     Raster Analytics using ArcGIS Image Server

The Raster Analytics capabilities offered by ArcGIS Image Server can be used to enable cloud computing, which applies distributed computing and distributed storage technology to analyze and process large raster data collections.  The following sessions will introduce the capabilities of this product, describe the architecture, detail the deployment options, and identify the performance benefits offered by distributed processing.

Tuesday, July 9
8:30 AM ArcGIS Enterprise: Raster Analytics in Image Server SDCC – Room 33 A/B
1:00 PM ArcGIS Enterprise: Managing and Serving Imagery in the Cloud using ArcGIS Image Server SDCC – Room 15 B
Wednesday, July 10
10:00 AM ArcGIS Enterprise: Sharing Imagery SDCC Demo Theater 2
12:30 PM Working with OGC WCS Services SDCC Standards & Interoperability Spotlight Theater
4:00 PM ArcGIS Enterprise: Managing and Serving Imagery in the Cloud using ArcGIS Image Server SDCC – Room 05 B
Thursday, July 11
8:30 AM ArcGIS Enterprise: Deploying Distributed Raster Analytics SDCC – Room 05 A
2:30 PM ArcGIS Enterprise: Raster Analytics in Image Server SDCC – Room 08

4.     Scientific Multidimensional Data Analysis

The ArcGIS platform has great capabilities for the ingesting, management, visualization, analysis, and sharing of scientific multidimensional data.  If you would like to use netCDF, HDF or GRIB data for doing spatial and temporal analysis, the following sessions will be of interest to you.

Wednesday, July 10
2:30 PM Analyzing Multidimensional Scientific Data in ArcGIS SDCC – Room 33 C
Thursday, July 11
10:00 AM Analyzing Multidimensional Scientific Data in ArcGIS SDCC – Room 10
10:00 AM Scientific and Multidimensional Raster Support in ArcGIS SDCC – Room 05 A
10:30 AM Working with Scientific Data in ArcGIS Platform SDCC – Expo – Open Platform: Standards & Interoperability Spotlight Theater

5.     The Road Ahead

Come join us for the Road Ahead sessions to find out what enhancements have been made in spatial analytics and what we are planning for the upcoming year, especially in the areas of machine learning, big data and real time analysis.

Tuesday, July 9
4:00 PM ArcGIS Enterprise: The Road Ahead SDCC – Ballroom 06 C
4:00 PM ArcGIS Pro: The Road Ahead SDCC – Ballroom 06 B
Wednesday, July 10
8:30 AM ArcGIS Enterprise: The Road Ahead SDCC – Ballroom 06 C
10:00 AM Spatial Analysis and Data Science: The Road Ahead SDCC – Ballroom 06 D
Thursday, July 11
10:00 AM Spatial Analysis and Data Science: The Road Ahead SDCC – Ballroom 06 D
1:00 PM ArcGIS Pro: The Road Ahead SDCC – Ballroom 06 D
Friday, July 12
9:00 AM ArcGIS Pro: The Road Ahead SDCC – Ballroom 06 F

Special Interest Group Meetings

Special Interest Groups – or SIGs—are communities within multiple organizations with a shared interest in advancing a specific area of knowledge, learning, or technology. Every year, the Esri UC supports dozens of SIG meetups, both technical and non-technical. SIGs are a great way to network with your peers and learn something new. We encourage you to check out and participate in any of several SIG meetups highlighted below.

Sunday, July 07
7:30 am – 5:00 pm Imagery Summit Marriott – Marina Foyer
8:30 am – 5:00 pm GeoSpatial Deep Learning SDCC – Room 32 A/B
9:00 am – 4:30 pm Esri GIS Hydro Meeting Marriott – Santa Rosa
Tuesday, July 9
11:30 am – 12:30 pm Ocean SIG SDCC – Room 26 A
Thursday, July 11
11:30 am – 12:30 pm Weather and Climate SIG SDCC – Room 17 A

Summary, and come see us!

Additional details on these sessions listed above, and much more, is available in the full agenda. Be sure to download the Esri Events Mobile App, too!   (UC content coming soon)

Please come by the Spatial Analyst island within Spatial Analysis & Data Science at the Product Showcase in the Exhibit Hall during the week (Tuesday and Wednesday from 9:00 – 6:00, and Thursday from 9:00 – 4:00.  We’d love to hear about the work you do, any difficulties you have encountered, and any ideas you might have to make our software suit your needs even better.

***Note: All listings subject to change; not every paper or event may be presented here. For the list of the all sessions visit the full agenda page.

About the author

Sarmistha is a geographer and a product engineer in the raster analysis group at Esri, and works on raster and scientific multidimensional data analysis. Sarmistha completed her Doctoral degree in Geography from the University of Delaware before joining Esri. Prior to that, she has worked at the Stroud Water Research Center, Kansas State University and Delhi School of Economics researching on fluvial geomorphology, water resources and spatial modeling. For any questions on raster analysis and scientific multidimensional data she can be reached at schatterjee@esri.com.

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