The Scenario Builder for Targeting International Development Programs aims to ensure that international development practitioners have easy access to the evidence that they need to make and defend decisions about where they target their programs. The tool has two main features. First, users can explore recent subnational data across ten countries for ten well-being and opportunity indicators—for example, the prevalence of poverty, hunger, malnutrition, and proximity to cities. Second, they can create scenarios where they would plan to implement a development program aimed at improving the livelihoods of the population in that area. They would do this by selecting administrative areas and then running an analysis that provides summary statistics across those areas. The outputs can be easily exported to a pdf and include the summary stats, maps, and extensive sourcing for future use.

Technology Used: JavaScript, Node.js, React, React-Leaflet, PostgreSQL, ArcGIS

Link: https://fast-anchorage-80376-8619ba4181a4.herokuapp.com/

Hong Kong is a city with abundant sunlight for considering solar energy as the energy source. Yet, only a small portion of solar energy is now transferred from sunlight. My project is to perform solar radiation analysis and create a web application to visualize the distribution of solar radiation over Hong Kong territory to support users in planning for locations to place the solar photovoltaic (PV) panels to generate cleaner renewable energy from solar.

The Feed-in Tariff scheme introduced by the government proposed an electricity bill reduction program for citizens who installed PV panels in their properties through selling the energy generated from the panels to the electricity companies. My project hopes to help the property owners in considering contributing their properties to solar energy generation.

Technology Used: ArcGIS Pro, Javascript, ArcGIS Maps SDK for JavaScript, jQuery UI, Bootstrap, HTML, CSS, Esri Calcite Design

Link: https://github.com/jusphonia1224/GEOG778

The Disaster Loan Data Explorer was designed for the US Small Business Administration’s Office of Disaster Recovery and Resilience as a tool to explore nearly 20 years of disaster lending history—over 2.5 million database entries—in geospatial format aggregated up to the county (or county-equivalent) level. Users can select counties by intersection with a disaster or by a specific indicator via SQL query and export their selection as a csv file with 20+ columns of relevant data (demographics, household income, commonly spoken non-English languages, etc). With a clean, user-friendly interface that seamlessly combines this disaster lending history with live disaster feeds, this app will save ODR&R a lot of time in the thick of disaster response, when every minute counts!

Technology Used: ArcGIS Pro, ArcGIS Javascript SDK, CSS, HTML

An educational platform and tool for geologists to learn and understand the basics of low temperature thermochronology, such as apatite fission track (AFT) and apatite (U-Th)/He (AHe), and their relation to the geology of southern Alaska. This is accomplished by the use of five distinct pages: a home page; an education section to learn about the basics of thermochronology, the differences between AFT and AHe, and an introduction to southern Alaska; an interactive geologic map of Alaska featuring the full geology of the state, the basement units, and Quaternary faults; an interactive sample map to show spatial locations of collect AFT and AHe samples; and an analysis section to look at data distribution and areas of missing data.

Technology Used: Leaftlet, Python, Javascript, ArcPy, HTML, CSS, ArcGIS, ESRI JS API, Bootstrap, Leaflet Fullscreen, D3

Link: https://alicegmorris.github.io/GEOG778-Project/

This project seeks to visualize jet activity in the Madison, Wisconsin airspace in the form of noise events using ArcGIS Online Story Map capabilities. We are trying to measure the impact of noise put out by military jets and other aircraft on Madison’s quality of life, particularly since the F-35s arrived in May of 2023.

Technology Used: ArcGIS Pro, ArcGIS Online, ArcGIS Story Maps and JavaScript (for beta testing purposes)

Link: https://storymaps.arcgis.com/stories/0201d603937b47d09d97da12fb3c89fe

Urban Heat Islands (UHIs) significantly impact medium-sized metropolitan areas, which are often overlooked compared to larger cities. To address this, the Urban Heat Explorer was developed, focusing on metropolitan areas such as the Research Triangle, Greater Austin, and Greater Richmond. The application was developed using Python scripts for data and geoprocessing, and JavaScript to create an interactive user interface with the ArcGIS for JavaScript API and Chart.js. This application visualizes average temperature data from 1975 to 2020, highlighting changes every five years in July. It features a Time View for year-by-year examination of the data and a Compare View with a swipe function for comparing years. Each view is paired with dynamic and interactive graphs created with Chart.js to further visualize the data. Designed for urban planners and policymakers, this tool supports informed decision-making by illustrating temperature variations due to urbanization, thus aiding sustainable urban development strategies.

Technology Used: Python, JavaScript, ArcGIS Pro, ArcGIS for JavaScript API, Chart.js

Link: https://juliannesay.github.io/urbanHeat/index.html

My project is a website to explore the environmental benefits of agroforestry, the intentional integration of trees and shrubs into crop and animal farming systems to create environmental, economic, and social benefits. I worked with the Savanna Institute, a nonprofit that researches, promotes, and assists in the implementation of agroforestry, to guide my data analysis on this project. I used raster manipulation and spatial analysis tools to compare Savanna Institute data on suitability of chestnut trees in Wisconsin against existing agricultural land, soil susceptible to wind or water erosions, and the Wisconsin DNR’s summary metric of Ecological Index per watershed. My website is a guided exploration that defines agroforestry, discusses my data sources and analysis, and presents the data in 3 interactive maps. I used ESRI’s Experience Builder, taking advantage of built-in widgets to display ESRI ArcGIS Online Web Maps that I prepared with my agroforestry analysis.

Technology Used: ESRI ArcGIS Pro for raster manipulation and data analysis, ESRI ArcGIS Online for data hosting and map making, ESRI Experience Builder to create the website

Links:
https://www.youtube.com/watch?v=yn5mo7OvPQg

https://experience.arcgis.com/experience/0feb9842864540189ec13144deff7652/

Edgewood, Washington is a city of about 13,500 people which has grown rapidly in recent years as its single-family-dominant housing composition has changed to include large apartment complexes. This project compiles, analyzes, and shares decennial census data for the Edgewood area using Python scripts and a Tableau map visualization, allowing detailed exploration of changes in the area. Data subjects include housing units, vacancy, tenure, total population, and populations by race and ethnicity. The Python scripts compute the 2010-2020 changes in each topic for the area’s block groups and census tracts. Due to boundary changes across the decade, the 2010 census data needed for comparison to 2020 data were aggregated from 2010 census block data. The ArcPy mapping library is used extensively in the script. The interactive Tableau visualization includes tract and block group level maps that can be adjusted to any data topic, to display 2010, 2020, or decadal change.

Technology Used: Python, ArcGIS, Tableau

The focus of my project centers on the air operations during the Kosovo War, utilizing a database to document NATO air strikes during Operation Allied Force and visualizing it through interactive map. The product is intended to create an iteration of existing static maps of same topic since it exceeds inherent limitation of static maps through its interactive format. Audiences can easily locate the information they need through date selector or query panel. The structure of this project is based on two primary components. A backend PostgreSQL database and a frontend interactive map. 

Important Note: To create this object, the fundamental raw-data are collected from Milos Popovic’s open source GitHub repository.

Technology Used: Leaflet, Node.js, JavaScript, PostgreSQL

Links:

Github Repository: https://github.com/Chen2023-UW/KosovoProject

Demo: https://drive.google.com/file/d/1ZlbjUV_seH0GMnVty_eBNOhEYFiR5od1/view?usp=share_link

Founded in 1859, Olympia Washington is the capital of Washington State and located on the south end of the Puget Sound. The city is a regional economic hub, with many state government offices, medical facilities, and other sources of regional employment. Olympia’s current population is about 54,000 people and is expected to grow by about 18,000 by 2040. 

In 2018, the City began creating the first ever Transportation Master Plan (TMP). The TMP is designed to allow for people to see what the city has planned. This project is a condensed version of the Master Plan, emphasizing the 20 year projects that the city is planning and allowing citizens to explore the data in a dynamic way. 

Technology Used: ArcGIS, Storymaps, ArcGIS Online

Link: https://storymaps.arcgis.com/stories/a26bf344d6d942769e9e3efaf553de44

Given the surge in population and traffic in Madison, Wisconsin, it is inevitable that departments will become less efficient in their emergency response. Evaluating and optimizing the efficiency of Madison’s emergency response was the main goal of our project. 

In this project, the FirstRespond application uses JavaScript, HTML, CSS, and the MapBox API to build navigation maps that facilitate quick navigation to critical services such as hospitals and police stations during emergencies. It incorporates real-time traffic data to dynamically adjust travel routes and mitigate the impact of traffic congestion on response times. In addition, I found by analyzing the emergency response efficiency using Python that traffic conditions have an 8% negative impact on emergency response efficiency. This project represents a major technological advancement in addressing the challenges posed to emergency services by urban growth and is designed to significantly reduce response times and enhance public safety in Madison.

Technology Used: Python, NetworkX, OSMnx, JavaScript, HTML, CSS, Vue.js, Element UI

Forest carbon offsets are projects that protect trees and allow them to sequester carbon from the atmosphere. The amount of carbon they are sequestering correlates to the biomass of the trees in the project. This can be approximated using a proxy called NDVI (Normalized Difference Vegetation Index), which estimates the amount of biomass in an area and can be extracted from satellite images. This interactive web map creates a visual database of forest carbon offset projects. Users can see where the forest carbon offset projects are located using symbols proportional to the number of carbon credits they received. Users can click on these symbols and review a popup window displaying important information about the project such as the name, developer, registry, and most importantly, the NDVI change over time determining if the area appears to be gaining or losing carbon.

Technology Used: Leaflet, Python, JavaScript

Link: https://zacpinard.github.io/Carbon-Offsets/

Visual Impact Assessment (VIA) is an essential analysis conducted during the permitting process for constructing onshore wind turbines. Conventional VIA involves calculating a project’s visual impact by considering cumulative viewsheds of blade end and hub heights of wind turbine locations. However, VIA is a geospatial analysis incorporating distance zone effect and visual exposure analytics to comprehensively assess the project’s visual impact. Furthermore, to perform VIA, most visibility analyses rely on commercial software as open-source alternatives are limited. To bridge the gap between enthusiasts and availability, the project aims to create the Python package – viawind. This package offers various functions and abilities to run the complete geospatial pipeline for performing VIA using open-source geospatial libraries.

Technology Used: Python

Link: https://youtu.be/GHYaXMWkQuY

Madison is surrounded by an important dwindling natural resource that many residents know little about—freshwater. This scroll map is intended to be used as an educational tool for residents of Madison to better understand freshwater as a resource, and learn more about salt’s effect on Madison’s lakes and wells. My goal is to motivate Madison residents to be aware of the effect of winter salt and prevent its widespread use. The project is designed to be a simple interface on any browser and system available for screen viewing on both desktop and mobile. The product was created using HTML/CSS and Javascript to make static maps (created using ArcGIS and Illustrator) interactive. 

Technology Used: ArcGIS, Adobe Illustrator, JavaScript, Leaflet, Datawrapper

Link: https://github.com/randimaes/778Final

The Participatory Treasure Reporting Web Application in England and Wales is an ArcGIS JavaScript API application. One of the central uses for a treasure-mapping application is its ability to identify locations according to legal criteria, establish historical location situational awareness, and identify the local coroner legally responsible for documenting treasure discoveries in each District by consolidating contact-information and reporting-features into a single web portal.

This study focuses on the development of a treasure-mapping application that addresses the needs of treasure hobbyists and district-level coroners alike. The application enables users to map treasure by type and quantity, and consequently, afford district Coroners the ability to analyze and perform administrative data-curation within the ArcGIS Online environment.

Testing involved producing end-user interaction processes, assessing peer-reviewed feedback on the application’s features, and implementing changes. This study consolidates the disparate process of contacting a coroner and reporting treasure finds into a single intuitive web application.

Fire departments are exploring technologies to improve the collection and use of pre-plans. Pre-plans are an excellent opportunity for mobile geospatial technologies. The ability to serve interactive data and imagery from an interactive web-map is an large advantage over the static pre-plan documents widely used.

This project is a web-based pre-plan application that allows firefighters to view, add, and edit data in a common interface during collection and use in an incident. The application enables data collection with minimal training, makes collected data immediately available in the pre-plan format, and connects images with their associated attributes. Users can explore the surrounding context of a facility, quickly view pre-plans of neighboring structures, or enlarge images for closer inspection. The app is built specifically for iPad, but responsive across a range of devices. It was built using HTML, CSS, and JavaScript with jQuery and the ArcGIS JavaScript SDK.

Links: https://github.com/TjBruhn/wiscpracticum-preplan

Annual property appraiser parcel databases include a wealth of data that can be used to track development trends. However, parcel sizes and boundaries can change often and has historically made comparing databases from one year to another difficult. This project uses a custom python script to summarize 14 years of parcel data into 1-acre hexagram bins that remain constant from year to year. This allows trends in residential units, nonresidential square feet, valuation, homeownership, and property taxes to be calculated and visualized. The resulting feature class is then used to perform an emerging hotspot/coldspot analysis. The resulting feature classes are presented in a web application showing both annual change, cumulative change, and the hotspot analysis. The python script is structured to allow easy updates when parcel data is updated each October.

Technology Used: Python, ArcGIS Maps SDK for JavaScript

Links: https://cybryant.github.io/LeonParcelTimeAnalysis/

This project aims to provide a new method for technical employees and city planners to observe changing ridership trends without having to perform complex statistical calculations. The project includes two products that serve different purposes. The Jupyter Notebook provides notes and workflows for technical users to follow, organizing and visualizing data simultaneously. On the other hand, the 2D web-based map offers a convenient way for non-technical users to easily navigate and gain insights into the trend and relevant background information without requiring many computer environment settings. The map not only simplifies the process of showing the trend lines in chart forms but also offers an intuitive way for users to observe the overall changes for the whole system directly by visualizing the data.

Technology Used: Leaflet, Python, PyDeck, Jupyter Notebook, JavaScript

Links: https://github.com/KCivilEnGI/GIS-Practicum

Trees are one of our most valuable resources. In addition to providing shade and beautifying streets, urban trees capture and clean stormwater runoff, remove pollution from the air, store carbon, and produce oxygen. The Los Angeles Tree Web Map is an online mapping application that allows users to explore the vast City of Los Angeles public park and public street right-of-way (ROW) tree inventory. Users can discover areas where trees are densely populated, search for their favorite tree(s) across the city, or visualize the range of tree heights along parks or streets. The application has a variety of features to explore trees across the city. The main feature is the ability to filter the two datasets by tree (common) name, street name, or park name. The application also provides the ability to change tree symbology, view tree characteristics, and change basemaps.

Technology Used: Esri Leaflet API, JQuery, Bootstrap, Javascript, HTML

Links: https://github.com/AGOMEZ28/LATreeWebMa

The SAM1960 website is an interactive tool that provides information on missile sites that were active in the United States during the 1960s. The website features an interactive map created using Leaflet.js and spatial data stored as GeoJSON files, which enables users to view missile sites near their community and additional information about each site. Additionally, the website has a notable sites page that provides information about missile sites available for public viewing. Using HTML, JavaScript, and CSS, the website is simple to use, mobile-friendly, and has a responsive design using the Bootstrap framework. Its static website architecture provides several benefits, including simplicity, easy maintenance, and easy updating and improvement over time. Overall, the SAM1960 website is a unique and informative tool for users to learn about the history of these missile sites and their significance.

Technology Used: HTML/JavaScript/CSS, Bootstrap, Leaflet.js

Links: https://jeffreyhuang.tk/SAM1960/SAM1960.html

Cos-Map is an interactive map application tailored to the costume photography community, allowing photographers and cosplayers to find new photoshoot locations. The web application is built on ESRI’s Suite of applications, including ArcGIS Pro, Experience Builder, and Survey123. Search and filter widgets are built to allow a user to search by a location’s state, tag category (environmental feature), or by a location’s name. Users can submit their own locations and photos as attachments to the map, subject to automatic filtering and sentiment analysis, to share their experiences at different sites for others to review and use in future photoshoots. User submissions are the core of the application and continuing submissions continue to grow the database beyond administrative intervention.

Technology Used: ArcGIS Pro, ArcGIS Online, Microsoft Power Automate, ArcGIS Survey123

Links: https://experience.arcgis.com/experience/556b7aba7e984c94b7054c405d640635/

The objective of my project is to streamline and improve upon the Ramsey County Surveyor’s Office current manual process of recording and storing field notes related to the Public Land Survey System (PLSS) within Ramsey County by allowing our land surveying technicians to utilize ArcGIS Field Maps to record, upload, and store these field notes. These field notes will be stored in a database and made available via an interactive web map for department use. ArcGIS Web AppBuilder was used to create the interactive web map and the database was developed using ArcGIS Pro then stored on ArcGIS Online. Forms to allow for field note collection were configured using ArcGIS Field Maps Designer.

Technology Used: ArcGIS Online, ArcGIS Pro, ArcGIS Web AppBuilder, ArcGIS Field Maps, Arcade

Links: https://uw-mad.maps.arcgis.com/apps/webappviewer/index.html?id=007f664d3fa84371b8336a5c2528ec0b

The Canadian National Capital Region Flood Observation System is designed to help residents identify, report, and communicate flood related observed information with other product user groups.

The system consists of 3 major components, front-end webapp, hosting server and database. The front-end application is a mobile first web app developed with bootstrap framework and open layers API. Backend is using geoserver for data hosting and publishing. Database is using PostgreSQL database with PostGIS extension.There are a few simple geo-analytic tools from the front-end webapp, and user could conduct simple CRUD(create, read, update and delete) process to the observation service from the webapp through WFS service, which is hosted from the back-end server using the PostGIS database. There are also a separate page from the webapp to view flood related knowledge and news for the region. The entire stack’s deployed infrastructure is through Docker.

Technology Used: Openlayers, PostGIS, Geoserver, Docker, NGINX

To accomplish their mission of delivering water resources, Central Utah Water Conservancy District (CUWCD) needs to replace pipelines before they fail. When to replace pipelines can in part be determined by considering the consequence of failure (COF), or the potential impacts that would occur should the pipeline fail. COF is scored by evaluating the spatial relationships between a pipeline and surrounding features (e.g., distances to nearby roads). As such, I developed and designed the “CUWCD Pipeline COF Scoring Application”, an interactive web map application, to calculate COF scores for CUWCD pipelines using methods evaluating the spatial relationships between a selected pipeline and nearby features, write those scores to the PostgreSQL database through API calls, and view the scores in tables and charts for comparison to help determine pipeline replacement schedules.

Technology Used: ArcGIS Maps SDK for JavaScript 4.26, D3, jQuery UI, Bootstrap, ASP.NET Core

The Public Dataset Finder is a desktop web map application that serves as a tool to support renewable energy project development and helps users find public datasets by their location. It is mainly intended for GIS Specialists to use a single web map for gathering various national and state level public data required for preparing reports during the environmental permitting process during the preliminary stages of a project. The user will be able to select the location of the project site on the map which will query from the ArcGIS Online database and display and list them on the map. This enables the user to view more details and navigate to the website for downloading them. This application also aims to improve data management by making use of data APIs.

Technology Used: ArcGIS Maps SDK for JavaScript 4.26, ArcGIS Online

The Aviation Management web application is a user role focused application to monitor the conditions of the National Airspace and make real-time logistical decisions. Using the foundations of web programming in HTML, CSS, and JavaScript, the Aviation Management application builds a live feed connection between operating aircraft, US based airports, and US operating airlines. With the combination of these datasets, the user has the ability to monitor all incoming and outgoing flights of a user defined airport, or all en-route aircraft of a user defined airline to make decisions regarding flight delays, air traffic, and personnel requirements. This application serves will serve airport management, airline management, and aircraft spotters alike with its powerful data display and manipulation capabilities.

Technology Used: HTML, CSS, JS, ArcGIS JS API, Esri Calcite Design

The interactive garden planner web map is a tool to help gardeners gather information, design their garden plot, and receive feedback based on size of plot and vegetable choice. The web map is a valuable addition to the resources and information provided by the Iowa State Extension office. It helps to display data in a visual manner that is more accessible to many users, and to streamline the process of garden planning. Users can access information on hardiness zone, soil data, suggested vegetable varieties, and approximate expected yield. ArcGIS Pro was used to develop the feature layers and data format. The data is hosted using ArcGIS Online. ArcGIS API for JavaScript was utilized for web map design.

Technology Used: ArcGIS Pro, ArcGIS Online, ArcGIS API for JavaScript

The Wisconsin County Health Rankings Explorer is a web map application expanding a user’s ability to interact with and learn from an annual data release. There are two maps and an inner panel between them. The left-hand map has the health outcomes ranks and the right-hand map has the health factors ranks. In the middle panel the user can change the year from 2014 – 2022 using the year buttons and select different sub rankings using the buttons. The counties change color to indicate the ranking class and a pop-up will appear when you hover over the county for its associated rank.

I made the tool to expand the visibility of the robust data being collected and allow more individuals and organizations to benefit from county-wide health data. Knowing the health rankings of individual counties and their associated health metrics can be integral in decision making and funding potential.

Technology Used: Leaflet, jQuery, mapshaper, ArcGIS Pro

Links: https://nylathursday.github.io/778_project/

This scrolling story explores traffic fatalities in Washington, DC from January 2021 to October 2022. Government agencies regularly provide data that is in the public interest for public use. However, there are often caveats to using this data. This project explored a traffic incident dataset provided by the DC city government. In the course of this project, I discovered how large a difference those caveats can make. As someone who is familiar with local DC news, I realized that the city dataset was missing some notable incidents, finding 19 incidents that caused 22 fatalities that were not included in the city’s dataset for the same time period. This story makes an argument for more radical shifts to keeping streets safe and for local community mapping that can more comprehensively serve community members.

Link: https://aileenclarke.github.io/dc-traffic-fatalities.html

This project serves two purposes: to educate the public on blue-green algae, and also to help park rangers at USACE Blue Marsh Lake in Leesport, PA identify locations within contributing watersheds to install Best Management Practices (BMPs) in order to reduce excess nutrient runoff entering the waterways. This website is split into two pages to achieve each of those goals. The public can scroll through a narrative page to learn about formation, identification, health impacts, and current management practices of blue-green algae at the lake. The second page is an interactive web map that allows users to see topography, streams without vegetated buffers, soil erodibility rates, nitrogen and phosphorus loading rates, and also the estimated nutrient reduction per drainage basin of installing various BMPs of a location where they click.

When creating a map using GIS software cartographic design is often overlooked. Many GIS users have little if any training in cartography and they are often faced with time/budget restraints, which usually leads to poor map design. ArcGIS Pro has alleviated some of the recurring cartographic faux pas that were common in its predecessor, ArcGIS Desktop, by improving defaFaster Feathering: Efficient & Simple Feathered Edges in ArcGIS Proult layout settings and map symbology UX/UI. Still, many professional cartographers find that standalone graphic editing software, which is often inaccessible to the average GIS user, is critical to achieve a desired aesthetic.

Visual hierarchy is one of the most important tools cartographers can leverage when constructing a map. It allows the creator to emphasize certain features while de-emphasizing others. A feathered edge (also known as a vignette) around an area of interest (AOI) is one of the most effective ways to emphasize certain elements on a map by directing the user’s eye through masking and shadowing.

The tool that I created for this project creates a feathered edge effect by creating a simple raster that can be easily symbolized to the user’s preference. The tool is able to achieve these results quickly and at a low technical barrier to entry for the user, with the default settings be widely applicable. The tool leverages ModelBuilder to calculate an appropriately sized feathered edge raster based on the user’s input AOI.

Links: https://youtu.be/GOBi5MI-95U

For my project, I created Census Find, a tool to let the technical-averse easily gain census insights. Getting the data you want from the U.S. census can be hard, and viewing it on a map can be even harder. This tool allows users to select the variables they are interested in, select the year they want, and apply it to any state, county, census tract, or place in the United States that they want. Say hello to reproducible insights across space and time.

Census Find is not currently live, but a demonstration on the functionality can be found on YouTube.

Links: https://youtu.be/Jf0zjedFfbA, https://github.com/freestok/census-find

Upon close inspection of online maps, labels for non-existent unincorporated communities are common. These “Phantoms” are found because websites such as Google Maps use the US Geological Survey (USGS) topographic maps and its Geographical Names Information System (GNIS) as main sources of map data. Due to a paucity of resources, the USGS has not thoroughly rectified these inaccuracies and therefore, over time, Phantoms have persisted on their maps. Using residential parcel records from the Wisconsin Statewide Parcel Map, a methodology was developed in ArcGIS Pro that identified ~60 Phantoms from a list of ~625 unincorporated communities curated from the GNIS. With ground-truthing, most of these can be easily confirmed as Phantoms and subsequently presented to the USGS for appropriate re-symbolization or removal from US topographic maps. This approach can be viewed as a first step for updating maps of Wisconsin and the rest of the United States.

Link: https://mhasinoff.github.io/WI_Phantoms/index.html

The Maryland Wildlife Explorer is an interactive web map application that enables users to identify Maryland wildlife species and report their sightings on an interactive map. It serves like a digital field guide and includes identification information for reptiles, amphibians, birds, and mammals. The goal of Maryland Wildlife Explorer is to empower the next generation of environmentalists. An environmentalist is someone who cares about and advocates for the environment. The best way to become an advocate is to learn and understand the surrounding environment and all its wildlife. The application was designed to be kid friendly, utilizing Calcite and Bootstrap to create an appealing user interface. ArcGIS JS API was used to create the interactive map and the database was developed using ArcGIS Pro then stored on AGOL.

Link: https://youtu.be/RggBPijbZ5s

The United States government passed legislation to implement the Great Lakes Compact in 2008. Wisconsin adopted this legislation 2 years later and has had an active management program through the Wisconsin Department of Natural Resources (WDNR). Included in this legislation are requirements for registering and reporting large groundwater and surface water withdrawals, as the Compact recognizes that good water resources data are necessary for water management, planning and protection. The WDNR Water Use Section has been collecting and managing the full data set for the past 10 years.

The purpose of my ARC GIS Online Storymap project to communicate water use concepts, visualize spatial patterns and show statistical trends from the 10 years of water use data in Wisconsin. Look for this Storymap to be released publicly in March of 2023.

The objective of this project was to redesign the public bus transportation system of St. Louis. By using current St. Louis Metro bus routes, population statistics, and human points of interest (businesses, public buildings, etc.), I worked to create a new and updated bus system that would better fit the city’s needs. Using GIS and Statistical software (ArcGIS, Python, Excel), I created maps that contained comparative statistics between the new and old systems to explain the updates for the public. Additionally, I created a full visual map of the updated system to provide frequency information, line name information, and some geographical locations the rider can use to better understand when and where the buses would be running with the update.

Link: https://sites.google.com/view/eli-samuelson/st-louis-metro-bus-redesign

This project synthesized the numerous examples and supporting documentation available regarding accessing and analyzing the data collections within Google Earth Engine for two end goals.

First, create an application that is an example of how a research project benefits from an interactive and approachable end product for users of varying technical abilities; this makes the science available to more users.

Second, create the code in a way that it exists an in-depth example of the pieces necessary to answer the questions that come up when trying to detect change within Earth observation datasets; this makes the code accessible to additional developers or scientists that have limited experience with coding or GIS.

Link: https://avstark.users.earthengine.app/view/growing-season-change-detection

This ArcPy tool solves a problem I come across regularly in my current job at Raymarine, getting data into the correct format to create a chart. This application converts our customer’s, Army Core of Engineers, inland data written in IENC (Inland Electronic Navigational Chart) format to S-57 format. This format is needed for my group to create the chart that will be used for navigational purposes on Raymarine devices. I am provided a geodatabase with one hundred layers containing depth information, danger points, buoys, etc. with fields and attributes that all need the proper naming conventions for the chart to symbolize correctly. All conversions are done through Python/ArcPy scripting and run by an ArcPy tool.

Tools: Python, ArcPy, Arc Pro

The Wisconsin Elections Commission’s job is to help manage election systems in the state of Wisconsin to benefit both members of the public looking to register and vote, but also to help the 1,850 election clerks around the state run elections and manage elections data.

Every 10 years, redistricting occurs in the State of Wisconsin after the U.S. Census. Federal, state and local election districts may be changed as a result. The purpose of this project is to create an interactive web map that can be used by municipal and county clerks to visualize new and existing districts in an intuitive way. It allows for customization, searching and filtering to suit the needs of their county or municipality. Though primarily designed for clerks and election staff, the map can hopefully be beneficial to anyone interested in election geography in Wisconsin.

Tools: ESRI ArcGIS Javascript API 4.23, ESRI ArcGIS Online storage

Project Links: https://grubeg.github.io/WisconsinVotingDistricts/

I created a website called A Rescue Dog’s Journey to teach people about animal rescues and shelters near them. Any person could go onto this website and learn about state or Wisconsin county totals. The goal is to teach people about the ease and availability of going through rescues/shelters rather than feeling the need to find a breeder. They could learn about save rates and the correlation coefficient that average age, homeownership, or level of education have on the save rate of animals in their state or county. There is also a map specifically about rescues in Wisconsin. One could learn everything they could want to know about which rescues are near them and how to get in contact or learn more!

Tools: ArcGIS Online, MapBox, HTML, Correlation Coefficient Formulas,

Project Links: https://experience.arcgis.com/experience/b3cc2b146b5b4ab2ae4f2baf086cd999

Dali-Cangshan UNESCO Global Geopark is a park located in rural southwestern China and celebrated for its rich geological history. This project seeks to improve hikers’ understanding of these geological artifacts by creating a user-friendly, interactive three-dimensional map that displays the hiking network of this park as well as the location of significant geological features. Its interactivity gives users the option to view trails and features from any angle, thus deepening their understanding of the region while reducing negligence. By modifying an existing mapping project designed by Esri through ArcGIS API, this project uses existing tools and tailors them to further the park’s goal of spreading geological knowledge.

Tools: ArcGIS API, NPM, JavaScript, Sass