Working with Raster Data in R

Description:

This workshop will introduce the fundamentals of working with geospatial raster data in R, including the main R packages for working with spatial data (including sf, sp, and raster). This workshop presumes some basic familiarity with GIS terms and concepts, and some familiarity with R. Through presentations and short exercises, we will cover R data classes for geospatial data, importing & exporting raster data, projections, raster manipulations, and raster analyses. By the end of the workshop, participants will be better equipped to work with raster data in R and have a broader understanding of the resources for spatial data analysis in R.

SPECIAL 3-part Geospatial R Series, offered in collaboration with the D-Lab

Description:

Geospatial data are an important component data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research.

Geospatial Data in R, part I: Getting started with spatial data objects Part one of this three-part workshop series will introduce basic methods and packages for working with geospatial data in R. Participants will learn how to import and export spatial data and store them as spatial objects. We will explore and compare several methods for mapping the data including the base plot function and the ggmap and tmap libraries. We will review coordinate reference systems and methods for reading, defining and transforming these. Note, this workshop focuses on vector spatial data.

Geospatial Data in R, part 2: Geoprocessing and analysis Part two of this three-part workshop series will dive deeper into data driven mapping in R, using color palettes and data classification to communicate information with maps. We will also introduce basic methods for processing spatial data, which are the building blocks of common spatial analysis workflows. Note, this workshop focuses on vector spatial data.

Geospatial Data in R, part 3: Working with raster data Part three of this three-part workshop series will introduce tools and approaches for working with raster data. Raster data are used to represent geographic phenomena that are present and measurable anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc. These data are a valuable resource for social scientists, planners, and engineers, as well as natural scientists. This workshop will introduce basic raster concepts and methods for working with raster data in R. Participants will learn how to import and store raster data as spatial objects. We will explore methods for plotting rasters and manipulating raster data values. Basic methods of raster and raster-vector spatial data analysis will also be introduced. Additionally, the workshop will review coordinate reference systems and methods for reading, defining and transforming these with raster data.

Knowledge Requirements: Basic knowledge of geospatial data is expected. R experience equivalent to the D-Lab R Fundamentals workshop series is required to follow along with the tutorial. Knowledge of ggplot helpful.

Technology Requirements: Laptop with R, RStudio and the following R packages installed: sf, ggplot2, tmap, RColorBrewer, classInt.

Webmaps in R with Leaflet

Description:

Learn how to turn your data into beautiful webmaps using R and Leaflet, one of the most popular libraries for creating web maps. We'll cover how to build the entire workflow from raw data to interactive map all within R, so your analysis and mapping are entirely reproducible. You will also learn how to save this data as an HTML file so you can display your map on any website or publish it online. Basic knowledge of geospatial data is expected. R experience equivalent to the D-Lab R Fundamentals workshop series is required to follow along with the tutorial.

New Workshop!

Online Tools for Mapping Demographic Data

Description:
Whether you need to just make a quick map or extract geo-located demographic data for use in other software, online tools can be just the thing! This workshop will introduce a few different web platforms for exploring and mapping U.S. demographic data, including the UCB Library-subscribed databases SimplyAnalytics and PolicyMap. While there is some overlap between the different applications, each has its own strengths and unique features. There will be hands-on exercises to explore the data and visualization tools that the different platforms offer.

Spatial Pattern Analysis with Python

Description:
This workshop will explore PySAL, a Python library for spatial data analysis, which includes functions for quantifying spatial auto-correlation in polygon data (i.e., Global Moran's I and Local Indicators). Options for exploring point patterns will also be discussed.

Data Management: Tips, Tricks and Tools to Make Your Life Easier

Description:
Tips, Tricks and Tools to Make Your Life Easier. This workshop has been designed for participants interested in data management practices for any sort of occasion. A one hour introductory presentation will get you up to speed on the key concepts and concerns of data management, as well as the basic structures of data you may come across. After this brief lecture you will follow an interactive exercise that will introduce you to a variety of tips, tricks, and tools that you can use for efficient data management. During this exercise you will learn how to safely acquire, organize and share all types of data using a variety of common tools, such as Google Drive and DropBox.

New Workshop!
Intro to ArcGIS Pro for Drone Data Processing and Analysis

Description:
This workshop is designed for participants who are interested in drone data applications with ArcGIS Pro, who have little to no prior experience in GIS. An introductory presentation will get you up to speed on considerations for drone data management, processing and analysis, with examples from current and past UC projects. After the lecture, you will have the opportunity to follow an interactive exercise that will introduce you to the functionality of the ArcGIS Pro software application, while stitching together drone data and conducting basic analysis of the processed outputs.

ArcGIS Pro for Forestry

Description:
We will introduce participants to Esri’s latest desktop GIS application, ArcGIS Pro. We’ll explore the pros and cons of migrating to this updated platform. After the presentation, we’ll follow an interactive exercise that will introduce you to Pro while performing basic processing and analysis geared towards forestry applications. This course is the result of a collaborative effort between UC ANR IGIS Statewide Program and the UC Berkeley, Geospatial Innovation Facility (GIF).

New Workshop!
Query the Planet: Running Geospatial Tools in the Cloud

Description:
The GIF is excited to announce that Mark Korver, geospatial lead on the specialist solution architecture team at Amazon Web Services (AWS), will be visiting UC Berkeley on Friday, October 19th to teach a special hands-on workshop on running geospatial tools in the cloud. The workshop will introduce Amazon EC2 (VMs) and storage options such as EBS, EFS, and S3. Attendees will learn serverless methods using GDAL to create Cloud-Optimized GeoTIFF (COG) with AWS Lambda and Amazon S3. Attendees will also get experience using QGIS on AWS including using managed PostgreSQL/PostGIS and open data in S3 for improved geospatial data analytics.

New Workshop!
Viewshed Analysis and Least-Cost Paths in ArcPro

Description:
The GIF is pleased to announce that we’re partnering with UC Berkeley’s Archaeological Research Facility (ARF) to bring users a new ArcPro workshop. This workshop steps through the process of conducting a Viewshed Analysis and a Least Cost Path study using examples from historical places and routes crossing the California Sierra Nevada. We will cover the process of acquiring and preparing topographic layers, setting up the vector layers, and interpreting the results. The Least Cost Paths analysis will use PathDistance with a customized Vertical Factor table based on Tobler's Walking Function.

LiDAR Data Processing: Methodologies to Point Cloud Acquisition & Processing

Description:
The Geospatial Innovation Facility is pleased to welcome Green Valley International (GVI) for a special workshop on LiDAR data acquisition and post-processing! Attendees will learn what it takes to create a full turnkey LiDAR workflow and will be provided with a free 6 month trial license for the point cloud post-processing software, LiDAR360.

New Workshop!
Geospatial Data Science and Machine Learning in GIS: FULL DAY WORKSHOP!

Description:
The GIF is excited to welcome Esri Solution Engineers to UC Berkeley for this full day event. The workshop is designed to cover approaches to machine learning within GIS framework. It is designed to demonstrate use cases of machine learning and data science as they pertain to spatial analysis through hands-on exercises. Use cases introduce integration of ArcGIS platform to Python and R languages, in addition to spatial machine learning functionality within the ArcGIS platform.

New Workshop!
Working with Climate Data

Description:
This new workshop will introduce participants to working with time-series raster data. We'll introduce users to NetCDF, a commonly used format for working with time series data and present ways to visualize and analyze time-series data in common GIS software.

Intro to Remote Sensing: Understanding digital imagery

Description:
This workshop introduces the very basic principles of understanding digital imagery, both satellite and aerial. The workshop is appropriate for participants with little to no experience in remote sensing. Through a combination of lecture and interactive activities, we will explore what makes up a multi-spectral image, where to find and download them, and how to view and manipulate them using a common geospatial software.

• Agenda:
• Presentation
• What is Remote Sensing?
• Components and characteristics of digital imagery
• Real world applications of Remote Sensing
• Software options for viewing and analyzing imagery
• Interactive
• Finding and downloading imagery
• Displaying and enhancing imagery in ArcGIS
• Techniques for image interpretation and analysis
• Basic methods for land cover classification

Intro to Remote Sensing: Pixel-based analysis

Description:
This workshop introduces digital image analysis techniques using Erdas Imagine and ENVI software. It is suggested that participants have taken "Intro to Remote Sensing: Understanding satellite imagery" or have comparable experience viewing and enhancing imagery in remote sensing software. Pixel based classification techniques are utilized to create land cover maps from raw satellite imagery, this workshop will introduce you to "unsupervised" and "supervised" classification approaches.

• Agenda:
• Presentation
• Classification steps: project considerations
• Pixel based land cover classification techniques (unsupervised, supervised, hybrid)
• Understanding accuracy assessment
• Software options for viewing and analyzing imagery
• Interactive
• Unsupervised classification in Erdas and ENVI
• Supervised classification in Erdas and ENVI

Intro to Remote Sensing using Open Source Tools

Description:
This workshop introduces the basic principles of understanding digital imagery, including the fundamentals of multi-spectral imagery. Participants will learn how to find and download satellite and aerial imagery, how to display and enhance digital imagery, and basic techniques for image interpretation and analysis. This workshop will be taught using QGIS, a popular free and open source geospatial software package.

Advanced Remote Sensing: Land cover change analysis

Description:
This workshop introduces the process of analyzing imagery from multiple dates in order to map and quantify change over time. It is suggested that participants have taken "Intro to Remote Sensing using Open Source Tools" or have comparable experience viewing, enhancing, and classyfying imagery in remote sensing software.

• Agenda:
• Presentation
• Understanding land cover change mapping
• Techniques for identifying areas of change
• Understanding limiting factors to accurately identify change
• Interactive
• Visual comparisons of multi-date imagery
• Creating a quick multi-band change enhancement
• Multi-date composite classification

Intro to Object-based image analysis (OBIA) with eCognition

Description:
This workshop introduces the Object Based Image Analysis (OBIA), an advanced method used to segment a pixel based image into map objects that can then be classified as a whole. This type of analysis is ideal for mapping with high-resolution imagery, where a single feature (such as a tree) may have several different shades of pixels. It is suggested that participants have taken Intro to Remote Sensing, or have comparable experience viewing and enhancing imagery in remote sensing software.

• Agenda:
• Presentation
• Brief overview of remote sensing
• Focus on object-based remote sensing
• Image Analysis (enhancements, classification)
• Interactive (using eCognition)
• Load and view data, Introduction to Processes
• Segmentation: How to create Image Objects; Image Objects
• Basic Classification; Classify using context information
• Merge Objects; Export results

Intro to Google Earth Engine: Detecting and Monitoring Surface Water from Space

Description:
This workshop will introduce participants to using Google Earth Engine (GEE) and will work through an exercise designed to remotely monitor surface water ponds over time using satellite imagery. Google Earth Engine is a powerful cloud-based geospatial platform that can be used to analyze decades of publicly available satellite imagery in seconds. The workshop assumes little or no experience with GEE and will introduce you to using the GEE Javascript code editor. Attendees will learn how to load geospatial data and imagery, including Landsat and Sentinel imagery, display them on the map, and inspect pond sites by reviewing the most recent images. You will also learn how to develop a layer of the Normalized Difference Water Index (NDWI), how to calculate mean NDWI values within polygons, and how to create graphs of NDWI over time.

Intro to Google Earth Engine: Tracking Forest through Time

Description:
This workshop will introduce students to Earth Engine, a cloud/browser-based platform that enables large analyses in very little time. It’s most relevant for people that are interested in using satellite and aerial imagery to study large areas, long time periods, or both. The API is home to hundreds of public remote sensing/geospatial datasets totaling more than thirty petabytes, and growing by thousands of images daily (it is continuously updated as images are captured). Earth Engine is an Application Programming Interface (API), meaning that users request data or analysis using a programming language – this workshop teaches the JavaScript API as it is more visually interactive and easier to set up. Using a case study of drought mortality in an island forest, we will explore a new tool for time series analysis in Earth Engine: LandTrendr. Using this algorithm, we will track the heartbeat of a forest over many decades. This workshop is intended for two broad groups – people with some initial geospatial or GIS knowledge who are interested in learning to use Earth Engine, and people with some Earth Engine experience who are interested in applying LandTrendr to time series analyses. This workshop will hopefully serve both groups by empowering those in the more experienced group to jump ahead within the detailed workshop handout and in the Earth Engine repository as they see fit.

You must pre-register for an Earth Engine account at https://earthengine.google.com/signup/ with a gmail account. Your Berkeley gmail account is good, but using a personal gmail is preferred as your account will have more longevity. Allow ~1 week for account approval.

SPECIAL WORKSHOP! Using NASA's AppEEARS and Other Tools to Improve Research Efficiency

Description:
The GIF is pleased to be able to offer this special workshop taught by our partners at NASA. This workshop introduces users to a range of innovative tools and services provided by NASA’s Land Processes Distributed Active Archive Center (LP DAAC), including the Application for Extracting and Exploring Analysis Ready Samples (AppEEARS), which offers a simple and efficient way to access and transform geospatial data. With AppEEARS, users can subset geospatial datasets using spatial, temporal, band parameter, and quality filter constraints. Additionally, participants will become more familiar working with Terra and Aqua MODIS and Terra ASTER data products. This workshop is designed for users with some previous experience working with remote sensing data and a basic understanding of R.

SPECIAL WORKSHOP! NASA ECOSTRESS

Description:
The GIF is pleased to be able to offer this special workshop taught by our partners at NASA. The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) measures the temperature of plants and use that information to better understand how much water plants need and how they respond to stress. https://ecostress.jpl.nasa.gov/. This workshop will inlcude a discussion of the data and why it is unique. We will then have an interactive, hands-on demo using R, QGIS, and ArcGIS tools. Come join us in the GIF for a unique opportunity to get started with this new

Creating your own web maps

Description:
This workshop is an introduction to webGIS. It has been designed for participants with little to no GIS or web experience, and serves as a practical exercise for you to begin developing your own web maps with google maps.

• Agenda:
• Presentation
• Brief introduction to webGIS
• Choosing the right webGIS development application for you
• Google Maps API
• Creating web maps with Google Fusion Tables
• Creating web maps with CartoDB
• Interactive
• Create a basic web map with Google Maps API
• Customize your Google Map
• Add your field (or other) points
• Create a basic web map with Google Fusion Tables
• Create a basic web map with CartoDB

Intro to CartoDB for Online Mapping

Description:
Andy Eschbacher, Map Scientist with CartoDB, will visit the GIF to teach this special hands-on workshop. CartoDB.com is a versatile cloud-powered spatial database, mapping, analysis and visualization engine that facilitates the process of building spatial applications for both web and mobile devices. The platform is currently used by major news organizations, research institutions, non-profits and geospatial application developers. This hands-on workshop will provide an introduction to managing, creating and analyzing spatial data and creating interactive map visualizations for the web, using the CartoDB platform. Click here to register.

Web Mapping and Visualization

Description:
This workshop is an introduction to Web GIS and data visualization. It has been designed for participants with some previous GIS experience, and serves as a practical exercise for you to begin developing your own web maps with Leaflet and D3.

Build a Web Map with Mapbox

Description:
Join us for a hands-on introduction to Mapbox, the location data platform for mobile and web applications. The Mapbox team will be walking you through how to upload data, add it to a map, and style it. This will be an introduction to Mapbox Studio, our UI interface for designing custom maps. In addition, there will be an intro to Mapbox GL JS, a Javascript library for adding interactivity to maps. You will be writing some Javascript throughout the workshop, but no previous experience is required. Participants will learn how to create a choropleth map with Mapbox Studio and make it interactive with Mapbox GL JS.

Introduction to ArcGIS Online Story Maps

Description:
The GIF is partnering with the D-Lab to bring you this new workshop. ESRI Story Maps let you combine maps with text, images, and multimedia content in a web page. Story Maps make it easy to harness the power of maps as a framework to tell your story. This workshop will introduce the process of creating Story Maps in ArcGIS Online (AGOL). Participants will learn how to log into the campus ArcGIS Online server, create web maps and then integrate those maps into Story Maps. Users can choose to keep data, web maps and Story Maps hosted on the campus AGOL site private or share with a group, or make them public.

Intro to Species distribution modeling

Description:
One of the fastest developing and increasingly used tool for conservation and biogeographic research, this workshop introduces species distribution modeling. We will introduce the concepts and the process of combining species location (x,y) data with environmental data (climate, landcover, etc.) to predict where a particular species may occur. It is suitable for participants with little to no experience with species modeling, however, a familiarity with R Statistics is advised. We will step through hands-on exercises using the latest tools and methods, and supply information for participants to continue their exploration of these methods. A great way to discover what this methodology is all about.

• Agenda:
• Presentation
• Overview of species distribution modeling and theory
• Data types and sources from global biodiversity informatics initiatives
• Modeling options
• Interactive
• Using a combination of desktop tools and applications (R Statistics, Maxent, ArcGIS, Diva GIS) to build a species distribution model(including how to acquire data, how to format, how to implement, and how to visualize)