Raster Analysis and Spatial Analyst Sessions at UC2018

The 2018 Esri User Conference (July 9-13) is almost here – are you ready?  We here on the Spatial Analyst 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 imagery analysis, or do multidimensional analysis, please look at the guide below to help you plan out your time with us.

To help target your areas of interest, we’ve categorized things into several groupings. Each one will list out a general purpose of the grouping, followed by the specific session titles in chronological order.  Repeat presentations are also listed, in case you are not able to attend the first showing.

1. Introduction to Raster Analysis
2. Applied Raster Analysis
3. Imagery
4. Raster Analytics
5. Python
6. Multidimensional and Scientific data
7. Road Ahead

Additional details on these sessions, and much more, is available in the full agenda. For your convenience, at the bottom of this post is a link to a PDF you can download, listing all of the sessions described below.  Finally, be sure to download the Esri Events Mobile App too!   (UC content coming soon)

Please come by the Island in the Showcase during the week (Tuesday and Wednesday from 9 – 6, and Thursday from  9 – 1:30).  We’d love to hear about the work you do, any difficulties you encounter, and any ideas you might have to make our software suit your needs even better.

Finally, remember to check out the Spatial Analysis : The Road Ahead session for a peek into the future.

1. Introduction to Raster Analysis with Spatial Analyst

The ArcGIS Spatial Analyst extension offers a large number of spatial modeling and analysis tools.  The following sessions cover many aspects of this product.  The introductory sessions demonstrate the wide range of capabilities on offer.  The Map Algebra session introduces the simple and powerful language that Spatial Analyst uses for performing a wide range of raster and feature geographic analysis. Following that are more focused sessions on specific aspects of the capabilities, such as suitability modeling, cost distance modeling, and interpolating surfaces from vector data.

Spatial Analyst: An Introduction

Map Algebra: Getting Started  

Finding the Best Locations Using Suitability Modeling 

Cost Distance Analysis: Identifying the Best Path

Interpolating Surfaces in ArcGIS

Surface Interpolation in ArcGIS

2. Applied Analysis

If you are interested in learning more about applied raster analysis capabilities offered by ArcGIS, the following sessions will be of interest to you.  Hydrological modelling is one of the specific applications for which raster-based processing is most highly suited.  Attend these sessions to learn more about creating hydro-conditioned surfaces, watershed delineation, stream flow calculation, flood modeling, and flood impact assessment.  Also included in this group is a session on applied suitability modelling, in particular, the workflow used to identify the best habitat patches for bobcat, and how to connect them with the optimum network of wildlife corridors

HydroGIS 2018 – Forecasting and Response for Flows and Floods

 Creating a Hydro Conditioned DEM

Hydrologic and Hydraulic Modeling in ArcGIS

GIS Techniques for Floodplain Delineation

 Bobcat Suitability Modeling 

3. Raster Analytics with Image Server

The ArcGIS Enterprise Image Server can be used for quickly processing very large collections of raster and imagery data. 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.

ArcGIS Enterprise: Raster Analytics in Image Server

ArcGIS Enterprise: Building Raster Analytics Workflows

ArcGIS Enterprise: Deploying Distributed Raster Analytics

4. Imagery and Image Analyst

Whether your data comes from satellite imagery, aerial imagery, or drones, ArcGIS provides extensive capabilities for imagery management, visualization and analysis.  See the following list of sessions if you want to find out more about imagery collection, processing, display, classification, interpretation and information extraction.

Advanced Raster Analytics

Imagery in ArcGIS: What’s New 

 ArcGIS Pro: Introduction to Image Analyst Extension

ArcGIS Pro: Image Segmentation, Classification, and Machine Learning

Image Analysis and Visualization using the Web Map Viewer

ArcGIS Enterprise: Managing and Serving Imagery in the Cloud Using ArcGIS Image Server

How Raster Functions Revolutionized the World Population Estimate

Image Processing using Raster Functions    (Intermediate)

5. Raster and Image Analysis with Python

Python offers a powerful way to perform raster and image analysis in ArcGIS.  The integration of Map Algebra with Python via the Spatial Analyst ArcPy module offers a broad range of capabilities for raster analysis and automation of geoprocessing workflows. If you like NumPy, we’ve got that covered too!

With the raster module of the ArcGIS API for Python, you can derive information from raster imagery with the large number of available raster functions. As the datasets continue to get larger and larger, learn about how parallel processing, distributed processing and the ArcGIS Image Server can be used to optimize performance.

Python: Raster Analysis

ArcGIS API for Python: Image Analysis 

6. Scientific and Multidimensional data

Scientific and multidimensional data is a burgeoning area of growth in GIS.  The ArcGIS platform has great capabilities for supporting the import, management, visualization, analysis and sharing of this type of information.  If you would like to use netCDF, HDF or GRID data for global scale spatial and temporal analysis, the following sessions will be of interest to you.

Scientific Tools for Atmospheric and Climate Analysis

Working with Scientific Data in ArcGIS

Scientific and Multidimensional Raster Support in ArcGIS

Analyzing Multidimensional Scientific Data in ArcGIS 

7. The Road Ahead

Come join us for this Road Ahead session to find out what enhancements have been made in ArcGIS Spatial Analysis and what we are planning for the upcoming year, especially in the areas of machine learning, big data, real time analysis, and integrating spatial analysis with the scientific Python ecosystem.

Spatial Analysis: The Road Ahead