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Workshop Schedule

Monday, April 5
Time  Title MAGIP Member Non-Member
8am – 12pm Learning ArcGIS Pro 1: Getting Started  $279  $559
8am – 12pm Automating Your Workflow Using Python: Focus on Reusable Code  $39  $79
12pm-1pm Lunch on your own
1pm – 5pm Learning ArcGIS Pro 1: Getting Started (continued)    
1pm – 5pm Using Python to Clean Data, Build Predictive Models, and Help in Decision Making: Focus on Building Coding Libraries
 $39  $79


Tuesday, April 6

8am – 12pm Editing in ArcGIS Pro  $279  $559
8am – 12pm Introduction to Lidar  $39  $79
12pm-1pm Lunch on your own
1pm – 5pm Editing in ArcGIS Pro (continued)
   
1pm – 5pm Exploring Montana Property Information with SQL Queries  $39  $79
1pm – 5pm (Almost) Everything about Census Data and Geography  $39  $79

Workshop Descriptions

Learning ArcGIS Pro 1: Getting Started

Instructor: Eric Pimpler, Geospatial Training Services

Requirements: Bring your own computer with ArcGIS Pro 2.x software installed and licensed

Maximum Seats: 24

Workshop Description:

In this 1 day course the student will learn how to use ArcGIS Pro to create and use projects, create 2D maps, add and symbolize layers, work with selection sets, work with tables, and create production quality map layouts. Students will learn terminology associated with ArcGIS Pro and GIS in general. They will gain an understanding of ArcGIS Pro projects and how to manage them.

Course Modules:
Module 1: Introduction to ArcGIS Pro
Module 2: Navigating the ArcGIS Pro Interface
Module 3: Working with ArcGIS Pro Projects
Module 4: Creating 2D Maps
Module 5: Creating Map Layouts

About the Instructor:

Eric is the founder and owner of GeoSpatial Training Services (geospatialtraining.com) and has over 25 years experience as an application developer, data scientist, and trainer using ArcGIS Desktop, ArcGIS Enterprise, ArcGIS Online, and ArcGIS Pro. Eric is currently focused on data science applications with Python, R, and GIS. He is the author of Programming ArcGIS with Python Cookbook, Building Web and Mobile ArcGIS Server Applications with JavaScript, Spatial Analytics with ArcGIS, ArcGIS Blueprints, and Programming ArcGIS Pro with Python. Eric has a Bachelor’s degree in Geography from Texas A&M University and a Master's of Applied Geography degree with a concentration in GIS from Texas State University.

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Automating Your Workflow Using Python: Focus on Reusable Code

Instructors: John Hogland and Melissa Reynolds-Hogland

Requirements: ArcGIS or ArcPro (arcpy), Python and IDL (we will be using Visual Studio), SciPy, Numpy, PIP, Google Login

Maximum Seats: unlimited

Workshop Description:

Much of what we do within a GIS on a day to day basis is detailed and repetitive. In many instances these procedures are complex and need to be performed by multiple people. In this workshop through various examples and exercises we will explore ways to automate your day to day workflow using Python and ArcGIS while focusing on creating reusable code. We will outline some basic object oriented programming concepts and explore ways to streamline GIS workflow. Workshop requirements: ArcGIS and python (version 2.7 or 3.2), your favorite interactive development environment (we will be using MS Visual Studio 2015), and SciPy. While a basic understanding of Python and ArcGIS are required to work through the examples and exercises, we will discuss coding and automation topics in a nontechnical manner so that anyone interested can participate.

About the Instructors:

Dr. Hogland is a Research Forester working for the Rocky Mountain Research Station. His research interests revolve around quantitative methods within geographic information systems (GIS) and understanding the relationships between landscape patterns and forested ecosystems processes. Current project include: 1) Quantifying forest characteristics at fine spatial scales, 2) designing, developing, and building new procedures that integrate machine learning and statistical modeling with fast raster processing (Function Modeling) to streamline spatial modeling and reduce storage space associated with GIS analyses, and 3) developing sampling strategies focused on reducing the cost of sampling while maintaining the characteristics of a representative sample.

Dr. Reynolds-Hogland is a wildlife researcher working for Wildlife Research and Education Foundation. Her research is focused on modeling wildlife habitat and resources using field data and geographic information systems (GIS), evaluating wildlife resource selection, modeling wildlife population demography, and linking resource selection with population survival to determine if individual behaviors scale up to affect population-level processes. Current projects include: 1) estimating resource selection by wild black bears in western Montana at a fine spatial resolution using GPS location data and GIS-derived habitat models that are trained and tested with field data, 2) modeling annual population survival and reproduction for black bears and yellow-bellied marmots using capture-mark-recapture data, 3) testing the efficacy of using non-invasive genetic and continuous video data to estimate annual survival of wildlife populations, and, 4) translating real-world data and findings from research studies into STEM education curricula for K-12 and undergraduate students.

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Using Python to Clean Data, Build Predictive Models, and Help in Decision Making: Focus on Building Coding Libraries

Instructors: John Hogland and Melissa Reynolds-Hogland

Requirements: ArcGIS or ArcPro (arcpy), Python and IDL (we will be using Visual Studio), SciPy, Numpy, PIP, SciKit-Learn, Google login

Maximum Seats: unlimited

Workshop Description:

There are numerous coding libraries available that allow us to automate many tasks within our workflow. However, there are often times in which we cannot easily address questions or tasks by using existing libraries or modules. In those circumstances it can be useful to develop our own python modules that can be automated. In this workshop we will discuss development techniques used to create modules that support aspects of data creation, predictive modeling, and decision making. Through multiple interactive examples and exercises we will develop a series of routines and modeling tools that can describe varying characteristics of data and help to inform decision making. Workshop requirements: ArcGIS and python (version 2.7 or 3.2), your favorite interactive development environment (we will be using MS Visual Studio 2015), and SciPy.

About the Instructors:

Dr. Hogland is a Research Forester working for the Rocky Mountain Research Station. His research interests revolve around quantitative methods within geographic information systems (GIS) and understanding the relationships between landscape patterns and forested ecosystems processes. Current project include: 1) Quantifying forest characteristics at fine spatial scales, 2) designing, developing, and building new procedures that integrate machine learning and statistical modeling with fast raster processing (Function Modeling) to streamline spatial modeling and reduce storage space associated with GIS analyses, and 3) developing sampling strategies focused on reducing the cost of sampling while maintaining the characteristics of a representative sample.

Dr. Reynolds-Hogland is a wildlife researcher working for Wildlife Research and Education Foundation. Her research is focused on modeling wildlife habitat and resources using field data and geographic information systems (GIS), evaluating wildlife resource selection, modeling wildlife population demography, and linking resource selection with population survival to determine if individual behaviors scale up to affect population-level processes. Current projects include: 1) estimating resource selection by wild black bears in western Montana at a fine spatial resolution using GPS location data and GIS-derived habitat models that are trained and tested with field data, 2) modeling annual population survival and reproduction for black bears and yellow-bellied marmots using capture-mark-recapture data, 3) testing the efficacy of using non-invasive genetic and continuous video data to estimate annual survival of wildlife populations, and, 4) translating real-world data and findings from research studies into STEM education curricula for K-12 and undergraduate students.

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Editing in ArcGIS Pro

Instructor: Eric Pimpler, Geospatial Training Services

Requirements: Bring your own computer with ArcGIS Pro 2.x software installed and licensed

Maximum Seats: 24

Workshop Description:

Learn how to create, modify, and delete spatial and attribute features in ArcGIS Pro.

Module 1: Editing Workflow and Options
Module 2: Creating New Features
Module 3: Creating New Features from Existing Features
Module 4: Editing Existing Features
Module 5: Editing Attributes

About the Instructor:

Eric is the founder and owner of GeoSpatial Training Services (geospatialtraining.com) and has over 25 years experience as an application developer, data scientist, and trainer using ArcGIS Desktop, ArcGIS Enterprise, ArcGIS Online, and ArcGIS Pro. Eric is currently focused on data science applications with Python, R, and GIS. He is the author of Programming ArcGIS with Python Cookbook, Building Web and Mobile ArcGIS Server Applications with JavaScript, Spatial Analytics with ArcGIS, ArcGIS Blueprints, and Programming ArcGIS Pro with Python. Eric has a Bachelor’s degree in Geography from Texas A&M University and a Master's of Applied Geography degree with a concentration in GIS from Texas State University.

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Introduction to Lidar

Instructors: Jessica Mitchell and Ryan Rock, Montana Natural Heritage Program

Requirements: A computer with ArcGIS Pro. Participants should have an organizational ArcGIS online account.

Maximum Seats: 24

Workshop Description:

The University of Montana’s Spatial Analysis Lab is offering an Introduction to Lidar workshop. The agenda includes an exercise that explores, creates, and evaluates Lidar datasets in ArcGIS Pro. We provide background information on Lidar operational theory, height filtering algorithms for converting from 3D point clouds to raster topographic and vegetation products, data flow, and available software. The training emphasizes contracting with vendors, including how to evaluate the vertical and horizontal accuracies of products that are delivered.

About the Instructors:

Jessica Mitchell directs the Spatial Analysis Lab at University of Montana. Jessica combines backgrounds in remote sensing of vegetation and environmental planning to advance techniques for analyzing natural resource impacts and land management decision making. She has been involved with over a decade’s worth of projects that involve the evaluation of discrete return airborne Lidar processing tools for vegetation applications. She has worked on the development of high resolution shrub structural products that inform ecosystem modeling products in the western US and is currently using Lidar-derived canopy structure variables to experiment with biodiversity mapping techniques. She has a masters’ in Geographical Information Science and a Ph.D. in Engineering and Applied Science from Idaho State University.

Ryan Rock is an image analyst with the Spatial Analysis Lab. He received a masters’ in Geography from the University of Montana with a concentration in Cartography and GIS. His current work focuses on using a variety of tools and open-source software to gather, interpret and analyze remote sensing data in order to create predictive vegetation models. Previously, he worked as a field technician on numerous wildlife research projects in Virginia, Pennsylvania and Montana.

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Exploring Montana Property Information with SQL Queries

Instructor: Christian Hinderman, Montana Department of Revenue

Requirements: Computer with SQL Server Management Studio Express

Maximum Seats: 15

Workshop Description:

The Property Assessment Division of the Montana Department of Revenue is responsible for the valuation of all taxable property in the state. A good deal of the data used in valuation is available through the State Library. In addition to the Cadastral site, database files are available for download. This workshop will give background information on the collection and availability of property data, and then dive into a property database file using Microsoft SQL Server Express – a free small-scale version of their database software. We will use SQL queries to explore the property tables and run a few typical reports. SQL query / Database management experience is helpful but not necessary.

About the Instructor:

Christian Hinderman is a GIS Management Analyst with the Montana Department of Revenue. He has worked in the Property Assessment Division for over a decade, starting on a team tasked with creating a GIS-based system of agricultural and forest property valuation. His work is focused on developing geoprocessing workflows with python scripting and data management.

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(Almost) Everything about Census Data and Geography

Instructors: Jim Castagneri and Lacey Loftin, United States Census Bureau

Requirements: A computer to watch the lecture and demonstration

Workshop Description:

This workshop will cover everything you need to know to about Census data and geography. The U.S. Census Bureau is the official steward of political and statistical geographies for the U.S. Government and we will cover in detail the ways we update, maintain and use these geographies for data collection and publication. We will also cover the data that is available from the surveys and census we conduct, how to access and use that data, and interesting applications for spatial analysis. We’ll demonstrate accessing the Census API and pulling census variables for your applications.

About the Instructors:

Jim Castagneri is a Geographic Coordinator for the United States Census Bureau. He is based in the Denver area.

Lacey Loftin is a Statistician with the United States Census Bureau. In the 15 years that she has been with the agency, she has served as an Analyst for the Economic Census, worked as a Survey Supervisor for current surveys, acted as a Congressional Liaison during the 2010 Census, and supported the launch of the Statistics in Schools program. As an Account Manager with the National Partnership Program, Lacey is now focused on outreach and engagement leading up to the 2020 Decennial Census.

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Planning for the Big Sky GeoCon Workshops is overseen by the MAGIP Technical Committee. 

Questions or corrections? Please email the Technical Committee Chair.



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