Launching your GIS Journey: Part 1 of 2
Introductory but powerful hands-on lessons aimed at empowering you with spatial thinking through geotechnologies!
Goals
This workshop is designed to: 1. Develop geotechnology skills, including foundational underpinnings, cloud data sources, data formats, communicating with maps, data quality; projections, symbolizing, georeferencing, measurement, classification, databases, and mobile workflows. 2. Develop spatial thinking through the use of geotechnologies. 3. Develop workforce awareness of the applicability of GIS across a variety of disciplines for instruction and research. 4. Provide confidence that you can use these skills and perspectives to move forward with your own career.
Workshop philosophy:
- This is your workshop. Let us know how we on the Esri education team can help you today and in the future as you use geotechnologies.
- Using geotechnologies effectively is a journey that will require building a network with your colleagues.
- We will not cover every GIS tool and data set that exists, but we will build a foundation so that you will be empowered and feel confident.
- The activities include core themes and skills that can be used in many topics, disciplines, and scales from local to global.
Tools: The workshop uses the following GIS tools: ArcGIS Online, web mapping applications such as Dashboards and Storymaps, and the Survey123 field data collection tool. For more advanced work, we will discuss ArcGIS Pro and selected other tools.
Workshop Themes:
(1) Geotechnologies are critically important tools in the natural and social sciences, engineering, design, and in many other fields to build a healthier, more equitable, more sustainable, more resilient future.
(2) Geotechnologies are essential tools for your career, no matter the field: They enable you to apply your skills and knowledge and contribute to the work that nonprofits, government agencies, private industry, and academia is using everyday. But, the most important tool is your brain--GIS is first and foremost a thinker's tool.
(3) Modern cloud-enabled GIS tools and spatial data mean that it is easier than ever to learn how to apply GIS to solve problems, and for teaching and research. But the world is a complex place and hence - using GIS is a lifelong journey.
Why this matters
We are increasingly empowered, yet increasingly challenged.
Sustainability is possible.
The Geographic Approach.
GIS enables the geographic approach.
Maps and GIS
Maps as decision-making tools
Maps have always been essential tools for the decision maker. For centuries, maps stirred imaginations and inspired explorations of the unknown. Today, maps are still used to explore the unknown, but instead of “terra incognita”, maps are used to help understand relationships across areas, regions, scales, and themes. Maps were drawn on wood blocks, copper plates, silk, film, and paper—each of which was an innovation for its time but had its own set of limitations. Today, maps are created and used in a digital environment within Spatial Technology.
In a GIS environment, maps are dynamic—map scale, symbology, and content can all be changed so that the issue can be better understood.
These maps no longer are simply reference documents that help us understand where things are, but can help us understand why things are where they are and help us plan for a more sustainable future. Digital maps created with and viewed within spatial technology can be combined with other maps and information, charts, stories, and multimedia.
Components of GIS
In 2004, the US Department of Labor identified three growing and essential fields for the 21st Century: Biotechnology, nanotechnology, and geotechnology. Geotechnology includes:
- Geographic Information Systems (GIS). GIS is the way almost all modern maps are made, but more than a map-making toolset, a GIS allows people to perform spatial analysis, considering patterns, relationships, and trends, and to plan for the future.
- Remote Sensing. Examining the Earth from a "remote position"--from satellites, airplanes, and UAVs (Unmanned Aerial Vehicles, or drones).
- Global Positioning Systems (GPS), or more accurately, Global Navigational Satellite Systems (GNSS). Technology that allows people and objects to determine their position accurately on the Earth's surface or at sea. Location underpins all of LOCI, so GPS/GNSS is a critical piece of geotechnology.
- Web Mapping (which many see as an outgrowth of GIS). Creating and sharing maps online, serving geospatial data online, and creating and serving maps and services online.
Combining these 4 components, geotechnology helps people make everyday decisions more effectively and efficiently.
Defining Geographic Information Systems (GIS)
Most university textbooks and industry manuals define GIS in terms of its "components" as follows: GIS is composed of hardware, software, data, methods (tools, models, and procedures), and people. Another useful definition is a process-oriented one: “GIS is a system for collecting, management, manipulation, analysis, and presentation of spatially referenced data.” Still another definition is a systems-oriented one: A GIS enables us to help capture, model, store, manage, and present complex systems in a problem-solving environment.
Another way to conceptualize GIS is to break apart its three words : The “G” or “Geographic” component refers to the location-component that GIS has—everything in a GIS is referenced to real-world coordinates. These coordinates can define a single point, a line, or a polygon, or define the starting point and extent of a grid, or image.
The “I” or “Information” component refers to the informational database behind the spatial data; a geo-database, usually stored as a table or set of related tables, containing spatial fields (such as latitude-longitude or street address or city names), and a-spatial (or non-spatial) fields (such as housing type or number of people between 10 and 19 years old). The “S” or “System” component ties the “G” and the “I” segments together—one can select a feature via using the map, or via a row in the data table. The "S" part can also refer to the analytical capabilities that GIS has, including spatial statistics, map overlay, proximity, routing, geocoding, and others. The “S” component ensures that a GIS is not just a set of graphics floating around in cyberspace, but that the attributes are always linked to the mapped feature.
Non-spatial information associated with a spatial feature is referred to as an attribute. A feature in a GIS is linked to its record in the attribute table through a unique numerical identifier (ID). Every feature in a map layer has an identifier. It is important to understand the one-to-one or many-to-one relationship between a feature and its attribute (usually stored as 1 record in the attribute table). Because features on the map are linked to their records in the table, you can click a feature on the map and see its attributes in the table. When you select a record in the table, the linked feature on the map is automatically selected as well.
Some data are represented as grids, or "rasters". Raster data can also have attributes only if their data (shown as pixels) are represented using a small set of integer values. Raster datasets that contain attribute tables typically have cell values that represent or define a class, group, category, or membership. Not all GIS raster data formats can store attribute information.
Consider the map below of most intense and deadliest world earthquakes in a GIS. Think of the "G" as the map of the earthquakes, the table below with the earthquake locations, magnitude, and fatalities as the "I" part, and the "S" means that you can select an earthquake on the map and that selected point will be selected in the data, and vice versa, you can select an earthquake in the table and it will be selected on the map.
Click on earthquakes and note the attributes that appear in the pop-ups. The pop-ups pull data from the table associated with the map.
Layers > Open Attribute Table. Note the fields. These fields are available for use in symbology, classification, in popups, for charts, and elsewhere.
Map Viewer
Earthquakes map in ArcGIS Online.
By combining the spatial with the aspatial data, we create a holistic view of the world. GIS data as layers, along with data analytics can help us capture some of the complexity and connections between phenomena in the world and make sense of them.
GIS answers questions. GIS is sometimes defined in terms of the questions it can answer, and the analysis that it can do, including:
- Location: What is at………….? This question seeks to find out what exists at a particular location. A location can be described in many ways, using, for example place name, post code, or geographic reference such as longitude/latitude.
- Condition: Where is it………….? The second question is the converse of the first and requires spatial data to answer. Instead of identifying what exists at a given location, one may wish to find location(s) where certain conditions are satisfied (such as an unforested section of at-least 2000 square meters in size, within 100 meters of road, and with soils suitable for supporting buildings).
- Aspatial Questions: "What's the average number of people working with GIS in each location?" is an aspatial question - the answer to which does not require the stored value of latitude and longitude; nor does it describe where the places are in relation with each other.
- Spatial Questions. "How many people work with GIS in the major neighborhoods or centers of Delhi" OR " Which centers lie within 10 km of each other? ", OR " What is the shortest route passing through all these centers". These are spatial questions that can only be answered using latitude and longitude data and other information such as the radius of the Earth. GIS can answer such questions.
Consider: What spatial question(s) are you most interested in? First and foremost, GIS is a Thinker's Tool. It empowers people to make smarter decisions.
GIS Data. GIS data has always been "big data" - large satellite images, databases with millions of records, and so on. GIS data are represented as layers, which cover such themes as buildings, water and electric lines, land use, hydrography, zoning, ecoregions, transportation, elevation, climate, and more. As shown in the graphic below, these layers are all georeferenced to a specific location on the planet. Each layer can be 2D or 3D.
GIS data layers tied to specific locations on Earth. Source: Ontario County NY and USGS, public domain.
Using geospatial data and mapping is laden with ethical considerations and meaning! Use the Spatial Reserves data book and blog to help you teach these concepts and skills:
- How to find spatial data.
- How to know if that data is any good.
- Societal implications: Location privacy, ethics, fee vs free data, crowdsourcing, and more.
Each essay in the book and blog are short and designed for hands-on work and fostering meaningful class discussion.
What's where, why is it there, and why should we care?
Spatial phenomena. Two types of spatial phenomena exist: discrete and continuous. A discrete spatial phenomenon is anything that exists that is individually distinguishable, with well-defined boundaries. It is easy to see where it begins and ends, and does not exist between where we observe it to be. Rivers and roads are good examples. A continuous spatial phenomenon is something that exists between our observations. It is data of a continuous nature that cannot be isolated as an individual. Temperature is a good example: It varies through space; a reading at a single location does not exist in isolation but is influenced by the readings or "surface" around it; elevation is another example.
GIS Data Models. GIS data is represented as two data models--vector and raster. Vector is typically used for discrete data, and raster is typically used for continuous data (but not always). Vector data is represented by discrete points, lines, and polygons, such as a single coordinate with x and y values (such as latitude and longitude) for a water well or a mine, at least two coordinates defining a line segment (such as a road or powerline), and several coordinates defining an area (such a lake, a police precinct, or a country). Raster data is represented by a grid, or array, of cells, each cell having a value. In an elevation grid, each cell contains an elevation. In a remotely sensed satellite image, each cell could contain a set of reflectance values in a specific part of the Electromagnetic Spectrum (Links to an external site.)
Why does the data model matter in your use of GIS? The data model determines what tasks you can perform on it, how you can symbolize and classify it, and it also impacts data quality.
GIS is Changing. GIS is dynamic--changing with each passing year. More recently, some definitions have focused on GIS moving from a system of records to a system of engagement. GIS now supports a mechanism by which ordinary citizens can have a greater role in their own local government. For example, where is the best location for a proposed urban greenway? Can my city fix the broken sidewalk in my neighborhood? Where are the floodwaters from scheduled to be in 2 hours? For more, examine these 5 forces, 5 trends, and 5 skills most critical in today's GIS world .
GIS: Moving from a system of record to a system of engagement.
The implications of the evolution of GIS are vast, including for education:
Implications for teaching and learning.
In short, GIS for its first phase was focused on doing digitally what we used to do with paper maps. Now, GIS is focused on seeing things and solving problems that we could never solve with traditional mapping methods. ArcGIS is a key part of this new modern world of GIS.
The ArcGIS Platform
The ArcGIS components and Vision.
The components of the ArcGIS system are advancing rapidly.
ArcGIS Is an interconnected system of data, maps, apps, and tools.
This workshop will focus on ArcGIS Online and apps. Be aware though of Enterprise, Developers, and ArcGIS Pro, however, for more capabilities.
Activity 1
Activity 1: Gaining confidence using the ArcGIS Online Map Viewer
- Go to www.arcgis.com > Map. Make sure you are using the new map viewer (the URL should be, when you are creating a new map: https://www.arcgis.com/apps/mapviewer/index.html).
- Map Navigation: On map using your mouse or touchpad: Zoom in and out, and pan. Use + and - tools to navigate. Drag a box and zoom in on box. Use Home to Zoom back to default view. Right panel: Map Tools > Search > University of La Verne > Set bookmark. Set another bookmark to California. Navigate via your new bookmarks.
- Right panel: Map Tools: Measure something. Practice Location using different formats.
- Left panel: Try different basemaps.
- Left panel: Add data > Browse Layers > Web service: Enter this URL for the HDI: https://services.arcgis.com/BG6nSlhZSAWtExvp/arcgis/rest/services/Human_Development_Index/FeatureServer > Add to map. Note symbology and what variable is mapped.
- Open attribute table and examine fields and data.
- Change symbology: Styles > Style Options > Classify Data > Manual Breaks > 2 classes. Adjust class break to 0.70. Observe patterns.
- Styles > Choose Attributes > + expression: $feature["HDI_2019"]- $feature["HDI_2010"]. Rename expression to Change from 2010 to 2019 > Save > Test > OK. Note patterns. Delete HDI variable so you are only mapping the 2010-2019 change. Use counts and amounts (color). Style options > Classify data > Manual Breaks > 2 classes. Adjust class break to 0 > Done. Left panel: View legend. Observe patterns. See result here .
- Note that some countries with no data are being symbolized as declining in HDI. Not useful! Thus > + Expression and > use the following expression so that if there is no value for 2010 or 2019, no value is returned, and then use the "show features with no values" as a separate color which will clearly show those countries with no data: if (IsEmpty($feature["HDI_2019"]) || IsEmpty($feature["HDI_2010"])) return null; $feature["HDI_2019"]-$feature["HDI_2010"] Name expression: 2010 to 2019 with no data countries ID'd > Test > OK > On map: Change back to Counts and Amounts (color) > Classify > 2 classes > Manual Breaks, set break at 0 > show features with no values > set symbol style on no values to red > Change label to No Data > Done. See result here . 10. Left panel: Note that since you are not signed in, you cannot save the map. But the above activity points to the fact that there are powerful things you can do in the ArcGIS platform without signing in.
Activity 2
Activity 2: Creating a map from a data table
- Download the following data table in CSV format generated from a community litter survey, from here: https://www.arcgis.com/home/item.html?id=6ab9ef065844463e920bd881df9fc0e2
- Download and examine this table in Excel. Note the location fields lat and long.
- Access www.arcgis.com (ArcGIS Online) > Sign in with your credentials > Content > New Item > Your Device > navigate to and choose the CSV > Choose "add CSV and create a hosted feature layer or table > Take defaults for ALL fields to be included > Next > Take defaults for location settings latitude and longitude but note other choices > Next > Metadata: Change title to more intuitive title, add tags, and add summary > Save.
- On "Item page" for your new feature layer > Open in Map Viewer. It should look similar to the following map below.
5. Left Panel: Change basemap to Open Street Map.
6. Right Panel: Pop-ups Level 1: Make the title more intuitive. Remove the lat and long from the fields list. Test your pop-ups.
7. Pop-ups Level 2: Description > Use the {} brackets to customize your popup to: At this point, {glass} glass pieces and {plastic} plastic pieces were found. Delete the fields so that only your new description appears.
8. Pop-ups Level 3: Enable Popups: Options > Attribute Expressions > Add Expression> var totallitter = $feature.aluminum + $feature.glass + $feature.other + $feature.paper + $feature.plastic and on the next line, enter: return totallitter Then rename the result to Total Litter Here. Test your popup for syntax > Fields List > Select fields > select your new field >Done. See result here .
9. Save your map.
Activity 3
Activity 3: Symbolizing, Classifying, and Charting Data
In this activity you will add a set of data collected in the field and use Smart Mapping techniques to uncover patterns and relationships in the data.
Open the map at right. Sign in to your account in ArcGIS Online. The data represents litter found around the streets of San Diego. This feature service was generated from a spreadsheet that could have been manually collected in the field, or via Survey123 or Field Maps.
Because this feature service was just published and added to the map, it has default symbology applied, showing the location only.
1) Use smart mapping
Open the Layers pane and select the Community litter survey layer.
The Properties pane opens.
Right Panel > Styles > Choose attributes, > + Field button and choose Fast Food wrappers > Add.
Note what smart mapping does with the data- instantly, the layer is redrawn using the Counts and Amounts (size) style. The more fast food wrappers were found at each location, the larger the symbol is.
2) Map multiple attributes
Fast food wrappers were just one of the types of litter collected at each location. Now, you will map all the kinds of litter to see what kinds of patterns there might be.
For Choose attributes, click + Field and choose Cans, Glass bottles, Other plastic waste, Paper waste, and Plastic bottles. Click Add.
Now, the map redraws using the Predominant category style. The color of each point corresponds to the type of litter that was most frequently found at each location.
Scroll down > Charts and Size > > Style options. Note pie charts.
Click Symbol style. For Outline color, click the Edit button.
In the Select color window, choose a shade of black or type 000000 in the Hex # box. Close the Select color window.
For Outline transparency > drag slider down to about 40% and for Outline width, drag the slider up to 2 px.
Close the Symbol style window.
In the Style options pane > scroll down until you see the Shape slider.
Drag the Shape slider about 3/4 of the way to the Donut shape.
Click Done three times.
Each symbol now shows the types of litter collected as a donut chart.
3) Apply Effects
Right panel: Effects.
In the Effects pane, click Drop shadow.
Close the Drop shadow window and close the Effects pane.
Now each symbol has a dark highlight around it to make it stand out on the map.
Note patterns. See sample map here . Which type of litter is most problematic in different parts of downtown San Diego?
Activity 4
Activity 4: Uncovering patterns and relationships in data
In this activity you will gain further skills in visualization and analysis with a focus on bivariate mapping.
1) Explore the map
Open this map of Internet Access data from the American Community Survey. Make sure you are signed into an ArcGIS Online account if you wish to save your work later.
Note the bivariate smart mapping symbology: 2 variables: color (%) and size (# of Households).
Left Panel: > Layers > expand the ACS Internet Access by Income Variables group.
Note patterns at different levels - zoom in and out to see different levels of census geography.
Zoom to the census tract level for an area you are interested in.
Left panel > Legend.
2) Experiment with symbol color
Left panel: Layers > Tract. Right panel: > Styles.
For Choose attributes, delete the Households without an Internet subscription field so you're just mapping the percent field. > Counts and Amounts (color), > Style Options > choose a different color ramp > Theme > Above and Below.
Observe what Above and Below shows you.
3) Experiment with symbol size
Use > Styles pane > Counts and Amounts (size), click Style options.
Change the size range to 3 to 33.
Observe how making the symbols smaller help you better visualize the patterns.
4) Experiment with heat maps Right panel > Styles pane > Heat Map, click Style options.
Adjust area of influence to Smaller to pick out patterns.
5) Create a relationship map.
Right panel: Styles > Add field Households whose income is $10,000 to $19,999 > Style > Relationship. Note patterns. Options: Change grid size from 3x3 to 2x2. Example map is here.
Activity 5
Activity 5: Examining patterns in Wildfires and Population
In this activity you will gain further skills in visualization and analysis with a focus on filtering and mapping effects.
1) Explore the map
Open the map at the right showing wildfire perimeters in California from 1878 to 2021. Make sure you are signed into an ArcGIS Online account if you wish to save your work later.
Left panel: > Legend.
There are three types of fires recorded here: Other burns, burn areas, and prescribed burns. Note that all 3 are shown using the same shade of red with transparency applied. While the map's author has only chosen to show the location of each fire, the effect is that of a heat map. Where multiple fires have burned over the years, the overlapping symbols show darker shades of red. Search for and zoom to Carpinteria CA to see this effect--the area northeast of Carpinteria has experienced multiple burns, while the area southeast has experienced fewer burns.
2) Explore prescribed burn patterns
Prescribed burns are fires that are purposefully set by firefighters and land management agencies to clear excess flammable material.
Left panel: > Layers > expand the California Fire Perimeters group > Click Prescribed burns to select the layer. A layer is selected when it has a vertical blue bar to the left of the layer name. Once it is selected: >
Right panel: Styles.
For Pick a Style: Location (single symbol), > Style Options > Symbol style. Make the Fill and Outline colors yellow.
Close the Symbol style window and click Done two times. Note the resulting patterns.
3) Use a filter to analyze specific years. First, make burn areas the selected layer, then:
Right panel > Filter > Add Expression: Year is 2018. Note resulting patterns. Note number of records in attribute table. Click on coast east of Oxnard and note the extent of the 2018 Woolsey fire. Remove filter.
4) Compare population footprint to wildfires.
Add a new layer to the map from the Living Atlas to examine the relationship of wildfire to population.
Left panel > Add > Browse. Choose Living Atlas.
Search for Populated Footprint in 2020 and click this tiled imagery layer by cfrye > Add to map to add the layer.
The Populated Footprint in 2020 layer displays as gray fill wherever people live.
Left panel: Layers > Drag the Populated Footprint in 2020 layer to a position below the California Fire Perimeters group.
Observe patterns of wildfires near the populated footprint, as shown below:
Population and historical burns.
5) Experiment with Effects
Left Panel: Select prescribed burns > right panel > Effects, such as bloom and drop shadow. Note result, as shown below.
Population and prescribed burns with effects added.
Use Saturate > increase the saturation on the prescribed burns.
Left panel > Select burn area layer: Effects: Hue Rotate. Take default and note green for burn area contrasted with yellow for prescribed, to help you distinguish these.
Effects > Feature-specific: Add expression Year is 2018 > Drop Shadow + Gray to note Woolsey Fire and areas of prescribed burns.
Search for and zoom to Pepperdine University. Note and measure how close Woolsey Fire came to campus. Zoom out and note nearest prescribed burns.
Left panel > Select Populated Footprint > Effects > Invert. Does this inverted effect help you better understand the proximity of population and historical burns?
Save your map if you wish. A sample is here .
Activity 6
Activity 6: Creating web mapping applications
In this activity you will create 1 basic instant app and 1 story map from your wildfire and populations map.
- Open your saved map from the wildfires activity, or this one here . Sign in to your ArcGIS Online organization.
- Create Instant app: Left panel: Create App > Instant apps > Basic > Choose. Provide title, tags > Create app > Next: Step 1: Note that the map is already selected. Next > Step 2: Express: Enable header, legend, hover popup. Next: Step 3: Enable search tool. Step 4: Drag tools to desired positions. > Publish > Confirm > Launch and test.
- Reflect upon the differences between the web map and the web app (instant app basic). Example here .
- Go back to map. Create Story Map: Left panel: Create App > Create story map > Add text > Title: Where are people living near historical wildfires? Add subtitle: GIS can help us understand past patterns and build a more resilient future. Note the map is already embedded. Provide a map caption: Historical wildfires in California. For cover image at top of story map, download this image to your device and use it. Add text: Fires are a new year-round reality across much of the U.S. We know it’s not a question of “if” more fires will burn, but rather what we can do to be better prepared to manage them – including understanding the factors that influence where, when, and how fires burn, and what the consequences of fires are for humans and ecosystems. Science can provide these answers and, in the process, can also save lives, property and money. Add > Embed: Embed the following real-time wildfire map: https://experience.arcgis.com/experience/da5c827bd3714267b847563ca52d7320/ and provide a caption: Real-time wildfire perimeter map. Sample story map is here.
- Reflect: You have created 2 kinds of web mapping applications. Reflect on the utility of each.
Keep Learning
Keep learning! Resources
GIS in education: What are the 10 most important skills, benefits, and strategies in using GIS in education?
Reasons to embrace GIS as a teaching tool - eBook:
Smart mapping lesson in Learn ArcGIS Lesson Library .
How to make relationships map: How to smart map: Relationships .
Making thematic Maps: Article: Smart Mapping Can Make Compelling Thematic Maps in Minutes | ArcNews | Summer 2022 https://www.esri.com/about/newsroom/arcnews/smart-mapping-can-make-compelling-thematic-maps-in-minutes/
Esri MOOCs: https://www.esri.com/mooc Free, rigorous, fun 6 week long courses with a cohort.
Learn ArcGIS Lesson library: https://learn.arcgis.com