Digital Commons Network^™

Addressing The Opioid Crisis Through County-Widen Public Safety Agencies’ Post-Overdose Outreach Programs, Julia Keane

School of Professional Studies

The opioid epidemic not only kills thousands every year but sees thousands survive overdoses only to overdose again in a continuous cycle. Massachusetts is no stranger to this epidemic, with numbers and patterns mirroring national rates. Newer changes to the drug supply, with fentanyl becoming increasingly used, sold, and cut with other drugs., have been on the rise and impact current opioid overdoses rates. Preventative measures are needed to address this public safety and public health crisis, not only bettering the current rates but decreasing future ones. This paper will first look at the methodology and literature used to understand …

The Effect Of Urbanization And Temperature On Thermal Tolerance, Foraging Performance, And Competition In Cavity-Dwelling Ants, Brooke A. Harris, Dale Stevens, Kaitlyn A. Mathis

Biology

Human disturbance including rapid urbanization and increased temperatures can have profound effects on the ecology of local populations. Eusocial insects, such as ants, have adapted to stressors of increasing temperature and urbanization; however, these evolutionary responses are not consistent among populations across geographic space. Here we asked how urbanization and incubation temperature influence critical thermal maximum (CT_max) and various ecologically relevant behaviors in three ant species in urban and rural locations in Worcester, MA, USA. We did this by incubating colonies of three species of cavity dwelling ant (Aphaenogaster picea, Tapinoma sessile, and Temnothorax longispinosus) from 2 habitat …

Protecting Brazilian Amazon Indigenous Territories Reduces Atmospheric Particulates And Avoids Associated Health Impacts And Costs, Paula R. Priest, Florencia Sangermano, Allison Bailey, Victoria Bugni, María Del Carmen Villalobos-Segura, Nataly Pimiento-Quiroga, Peter Daszak, Carlos Zambrana-Torrelio

Geography

Indigenous territories are considered important for conservation, but little is known about their role in maintaining human health. Here we quantified the potential human health and economic benefits of protecting these territories in the Brazilian Amazon, by using cardiovascular and respiratory diseases cases, pollutant and forest cover data. Between 2010 and 2019, 1.68 tons of Particulate Matter of small size (PM_2.5) were released every year, with negative effects for human health. A lower number of infections was also found in municipalities with more forested areas, and with a low level of fragmentation, which probably is related to the …

Cropland Mapping In Tropical Smallholder Systems With Seasonally Stratified Sentinel-1 And Sentinel-2 Spectral And Textural Features, Manushi B. Trivedi, Michael Marshall, Lyndon Estes, C.A.J.M. De Bie, Ling Chang, Andrew Nelson

Geography

Mapping arable field areas is crucial for assessing agricultural productivity but poses challenges in sub-Saharan agroecosystems because of diverse crop calendars, small and irregularly shaped fields, persistent cloud cover, and lack of high-quality model training data. This study proposes several methodological improvements to overcome these challenges. Specifically, it utilizes long-term MODIS data to stratify finer Sentinel-2 reflectance and Sentinel-1 backscatter image features on a per-pixel basis. It also incorporates texture features and employs a machine learning approach with over 300,000 samples. The eastern region of Ghana was stratified into seven seasonal strata exhibiting distinct vegetation seasonality, capturing diversity in crop …

Spatial Dimensions Of Water Quality Value In New England River Networks, Robert J. Johnston, Klaus Moeltner, Seth Peery, Tom Ndebele, Zhenyu Yao, Stefano Crema, Wilfred M. Wollheim, Elena Besedin

Economics

Households’ willingness to pay (WTP) for water quality improvements—representing their economic value—depends on where improvements occur. Households often hold higher values for improvements close to their homes or iconic areas. Are there other areas where improvements might hold high value to individual households, do effects on WTP vary by type of improvement, and can these areas be identified even if they are not anticipated by researchers? To answer these questions, we integrated a water quality model and map-based, interactive choice experiment to estimate households’ WTP for water quality improvements throughout a river network covering six New England states. The choice …

Biophysical Measures To Support Analysis And Communication Of Existence Values, James Boyd, Robert Johnston, Paul Ringold

Economics

A recent focus of ecosystem services research has been on the definition of biophysical outcomes and measures most closely linked to social welfare. There is a particular need to identify biophysical outcomes corresponding to existence values. (Values associated with existence apart from any current or future use.) We review economic and ecological evidence to answer two key questions: First, what are ideal characteristics of linking indicators for existence values? Linking indicators should be: understandable, subject to direct sensory perception, represented at relevant temporal and spatial scales, comprehensive, and quantifiable in a repeatable manner. Second, what types of ecosystem outcomes are …

Four Fundamental Questions To Evaluate Land Change Models With An Illustration Of A Cellular Automata–Markov Model, Cláudia M. Viana, Robert Gilmore Pontius, Jorge Rocha

Geography

Numerous models exist for users to simulate land change to communicate with an audience concerning future land change. This article raises four fundamental questions to help model users decide whether to use any model: (1) Can the user understand the model? (2) Can the audience understand the model? (3) Can the user control the model? (4) Does the model address the goals of the specific application? This article applies these questions to the popular cellular automata–Markov (CA–Markov) model as IDRISI’s CA–Markov module expresses. Sensitivity analysis examines 120 ways to set the module’s parameters. Verification compares the module’s behavior to the …

A Century Of Drought In HawaiʻI: Geospatial Analysis And Synthesis Across Hydrological, Ecological, And Socioeconomic Scales, Abby G. Frazier, Christian P. Giardina, Thomas W. Giambelluca, Laura Brewington, Yi Leng Chen, Pao Shin Chu, Lucas Berio Fortini, Danielle Hall, David A. Helweg, Victoria W. Keener, Ryan J. Longman, Matthew P. Lucas, Alan Mair, Delwyn S. Oki, Julian J. Reyes, Stephanie G. Yelenik, Clay Trauernicht

Geography

Drought is a prominent feature of Hawaiʻi’s climate. However, it has been over 30 years since the last comprehensive meteorological drought analysis, and recent drying trends have emphasized the need to better understand drought dynamics and multi-sector effects in Hawaiʻi. Here, we provide a comprehensive synthesis of past drought effects in Hawaiʻi that we integrate with geospatial analysis of drought characteristics using a newly developed 100-year (1920–2019) gridded Standardized Precipitation Index (SPI) dataset. The synthesis examines past droughts classified into five categories: Meteorological, agricultural, hydrological, ecological, and socioeconomic drought. Results show that drought duration and magnitude have increased significantly, consistent …

Applying Landscape Fragmentation Analysis To Icescape Environments: Potential Impacts For The Pacific Walrus (Odobenus Rosmarus Divergens), Anthony Himmelberger, K E. Frey, Florencia Sangermano

Geography

Sea-ice cover across the Arctic has declined rapidly over the past several decades owing to amplified climate warming. The Pacific walrus (Odobenus rosmarus divergens) relies on sea-ice floes in the St. Lawrence Island (SLI) and Wainwright regions of the Bering and Chukchi seas surrounding Alaska as a platform for rest, feeding and reproduction. Lower concentrations of thick ice floes are generally associated with earlier seasonal fragmentation and shorter annual persistence of sea-ice cover, potentially affecting the life history of the Pacific walrus. In this study, 24 Landsat satellite images were classified into thick ice, thin ice or open water to …

Rocky Mountain Forests Are Poised To Recover Following Bark Beetle Outbreaks But With Altered Composition, Kyle C. Rodman, Robert A. Andrus, Amanda R. Carlson, Trevor A. Carter, Teresa B. Chapman, Jonathan D. Coop, Paula J. Fornwalt, Nathan S. Gill, Brian J. Harvey, Ashley E. Hoffman, Katharine C. Kelsey, Dominik Kulakowski, Daniel C. Laughlin, Jenna E. Morris, José F. Negrón, Katherine M. Nigro, Gregory S. Pappas, Miranda D. Redmond, Charles C. Rhoades, Monique E. Rocca, Zoe H. Schapira, Jason S. Sibold, Camille S. Stevens-Rumann, Thomas T. Veblen, Jianmin Wang, Xiaoyang Zhang, Sarah J. Hart

Geography

Amplified by warming temperatures and drought, recent outbreaks of native bark beetles (Curculionidae: Scolytinae) have caused extensive tree mortality throughout Europe and North America. Despite their ubiquitous nature and important effects on ecosystems, forest recovery following such disturbances is poorly understood, particularly across regions with varying abiotic conditions and outbreak effects. To better understand post-outbreak recovery across a topographically complex region, we synthesized data from 16 field studies spanning subalpine forests in the Southern Rocky Mountains, USA. From 1997 to 2019, these forests were heavily affected by outbreaks of three native bark beetle species (Dendroctonus ponderosae, Dendroctonus rufipennis and Dryocoetes …

Phytoplankton Bloom Stages Estimated From Chlorophyll Pigment Proportions Suggest Delayed Summer Production In Low Sea Ice Years In The Northern Bering Sea, Clare B. Gaffey, Karen E. Frey, Lee W. Cooper, Jacqueline M. Grebmeier

Geography

Decreased sea ice cover in the northern Bering Sea has altered annual phytoplankton phenology owing to an expansion of open water duration and its impact on ocean stratification. Limitations of satellite remote sensing such as the inability to detect bloom activity throughout the water column, under ice, and in cloudy conditions dictate the need for shipboard based measurements to provide more information on bloom dynamics. In this study, we adapted remote sensing land cover classification techniques to provide a new means to determine bloom stage from shipboard samples. Specifically, we used multiyear satellite time series of chlorophyll a to determine …

A Pantropical Assessment Of Deforestation Caused By Industrial Mining, Stefan Giljum, Victor Maus, Nikolas Kuschnig, Sebastian Luckeneder, Michael Tost, Laura J. Sonter, Anthony J. Bebbington

Geography

Growing demand for minerals continues to drive deforestation worldwide. Tropical forests are particularly vulnerable to the environmental impacts of mining and mineral processing. Many local- to regional-scale studies document extensive, long-lasting impacts of mining on biodiversity and ecosystem services. However, the full scope of deforestation induced by industrial mining across the tropics is yet unknown. Here, we present a biome-wide assessment to show where industrial mine expansion has caused the most deforestation from 2000 to 2019. We find that 3,264 km2 of forest was directly lost due to industrial mining, with 80% occurring in only four countries: Indonesia, Brazil, Ghana, …

First Pan-Arctic Assessment Of Dissolved Organic Carbon In Lakes Of The Permafrost Region, Lydia Stolpmann, Caroline Coch, Anne Morgenstern, Julia Boike, Michael Fritz, Ulrike Herzschuh, Kathleen Stoof-Leichsenring, Yury Dvornikov, Birgit Heim, Josefine Lenz, Amy Larsen, Katey Walter Anthony, Benjamin Jones, Karen Frey, Guido Grosse

Geography

Lakes in permafrost regions are dynamic landscape components and play an important role for climate change feedbacks. Lake processes such as mineralization and flocculation of dissolved organic carbon (DOC), one of the main carbon fractions in lakes, contribute to the greenhouse effect and are part of the global carbon cycle. These processes are in the focus of climate research, but studies so far are limited to specific study regions. In our synthesis, we analyzed 2167 water samples from 1833 lakes across the Arctic in permafrost regions of Alaska, Canada, Greenland, and Siberia to provide first pan-Arctic insights for linkages between …

Field-Scale Soil Moisture Bridges The Spatial-Scale Gap Between Drought Monitoring And Agricultural Yields, Noemi Vergopolan, Sitian Xiong, Lyndon Estes, Niko Wanders, Nathaniel W. Chaney, Eric F. Wood, Megan Konar, Kelly Caylor, Hylke E. Beck, Nicolas Gatti, Tom Evans, Justin Sheffield

Geography

Soil moisture is highly variable in space and time, and deficits (i.e., droughts) play an important role in modulating crop yields. Limited hydroclimate and yield data, however, hamper drought impact monitoring and assessment at the farm field scale. This study demonstrates the potential of using field-scale soil moisture simulations to support highresolution agricultural yield prediction and drought monitoring at the smallholder farm field scale. We present a multiscale modeling approach that combines HydroBlocks a physically based hyper-resolution land surface model (LSM) with machine learning. We used HydroBlocks to simulate root zone soil moisture and soil temperature in Zambia at 3 …

Encoding A Categorical Independent Variable For Input To Terrset’S Multi-Layer Perceptron, Emily Evenden, Robert Gilmore Pontius

Geography

The profession debates how to encode a categorical variable for input to machine learning algorithms, such as neural networks. A conventional approach is to convert a categorical variable into a collection of binary variables, which causes a burdensome number of correlated variables. TerrSet’s Land Change Modeler proposes encoding a categorical variable onto the continuous closed interval from 0 to 1 based on each category’s Population Evidence Likelihood (PEL) for input to the Multi-Layer Perceptron, which is a type of neural network. We designed examples to test the wisdom of these encodings. The results show that encoding a categorical variable based …

Climate Impacts Of U.S. Forest Loss Span Net Warming To Net Cooling, Christopher A. Williams, Huan Gu, Tong Jiao

Geography

Storing carbon in forests is a leading land-based strategy to curb anthropogenic climate change, but its planetary cooling effect is opposed by warming from low albedo. Using detailed geospatial data from Earth-observing satellites and the national forest inventory, we quantify the net climate effect of losing forest across the conterminous United States. We find that forest loss in the intermountain and Rocky Mountain West causes net planetary cooling but losses east of the Mississippi River and in Pacific Coast states tend toward net warming. Actual U.S. forest conversions from 1986 to 2000 cause net cooling for a decade but then …

Beyond Biomass To Carbon Fluxes: Application And Evaluation Of A Comprehensive Forest Carbon Monitoring System, Yu Zhou, Christopher A. Williams, Natalia Hasler, Huan Gu, Robert Kennedy

Geography

Accurate quantification of forest carbon stocks and fluxes over regions is needed to monitor forest resources as they respond to changes in climate, disturbance and management, and also to evaluate contributions of forest sector to the regional and global carbon balances. In previous work we introduced a national forest carbon monitoring system (NFCMS) that combines forest inventory data, satellite remote sensing of stand biomass and forest disturbances, and an ecosystem carbon cycle model to assess contemporary forest carbon dynamics at a 30 m resolution. In this study, we evaluate the NFCMS estimates of biomass and carbon fluxes with available data …

Application Of Autoencoders For Latent Pattern Analysis In Image Time Series, Jiena He

International Development, Community and Environment (IDCE)

The Earth system is considered to possess certain modes - preferred patterns of variability that can represent the latent structure of the climate system, also known as teleconnections. There are approaches to discover these patterns, Principal Components Analysis and Empirical Orthogonal Teleconnection (EOT) analysis. However, while the latter is very effective, it is computationally intensive. An autoencoder is an unsupervised neural network that learns an efficient neural representation of input data. It is considered as a dimensionality reduction tool that is highly similar to PCA and EOT. The hidden layer of an autoencoder represents the most significant information of the …

Accounting For Training Data Error In Machine Learning Applied To Earth Observations, Arthur Elmes, Hamed Alemohammad, Ryan Avery, Kelly Caylor, J. Ronald Eastman, Lewis Fishgold, Mark A. Friedl, Meha Jain, Divyani Kohli, Juan Carlos Laso Bayas, Dalton Lunga, Jessica L. Mccarty, Robert Gilmore Pontius, Andrew B. Reinmann, John Rogan, Lei Song, Hristiana Stoynova, Su Ye, Zhuang Fang Yi, Lyndon Estes

Geography

Remote sensing, or Earth Observation (EO), is increasingly used to understand Earth system dynamics and create continuous and categorical maps of biophysical properties and land cover, especially based on recent advances in machine learning (ML). ML models typically require large, spatially explicit training datasets to make accurate predictions. Training data (TD) are typically generated by digitizing polygons on high spatial-resolution imagery, by collecting in situ data, or by using pre-existing datasets. TD are often assumed to accurately represent the truth, but in practice almost always have error, stemming from (1) sample design, and (2) sample collection errors. The latter is …

Spatial Patterns Of Adverse Birth Outcomes Among Black And White Women In Massachusetts – The Role Of Population-Level And Individual-Level Factors, Yelena Ogneva-Himmelberger, Madeline Haynes

Sustainability and Social Justice

This study explores spatial distribution of adverse birth outcomes (ABO), defined as low birth weight (<=2500 g) and preterm deliveries (gestational age <37 weeks), in black and white mothers in the state of Massachusetts, USA. It uses 817877 individual birth records from 2000-2014 aggregated to census tracts (census enumeration unit with population of approximately 4500 people). To account for small numbers of births in some tracts, an Empirical Bayes smoother algorithm is used to calculate ABO rates. The study applies ordinary least squares (OLS) and spatial regression to examine the relationship between ABO rates, seven individual-level factors from birth certificates and nine population-level factors (income level, education level, race) from census data. Explanatory power of these factors varies between the two races. In models based only on individual-level factors, all seven factors were significant (p<0.05) in the black mothers’ model while only three were significant in the white mothers’ model. Models based only on population-level variables produced better results for the white mothers than for black mothers. Models that included both individual and population-level variables explained 40% and 29% of ABO variance for black and white women respectively. The findings from this study give health-care providers and health-care policy-makers important information regarding ABO rates and the contributing factors at a local level, thus enabling them to isolate specific areas with the highest need for targeted interventions.

Effects Of Category Aggregation On Land Change Simulation Based On Corine Land Cover Data, Orsolya Gyöngyi Varga, Robert Gilmore Pontius, Zsuzsanna Szabó, Szilárd Szabó

Geography

Several factors influence the performance of land change simulation models. One potentially important factor is land category aggregation, which reduces the number of categories while having the potential to reduce also the size of apparent land change in the data. Our article compares how four methods to aggregate Corine Land Cover categories influence the size of land changes in various spatial extents and consequently influence the performance of 114 Cellular Automata-Markov simulation model runs. We calculated the reference change during the calibration interval, the reference change during the validation interval and the simulation change during the validation interval, along with …

Analyzing The Relationship Between Perception Of Safety And Reported Crime In N Urban Neighborhood Using Gis And Sketch Maps, Yelena Ogneva-Himmelberger, Laurie Ross, Thomas Caywood, Marina Khananayev, Casey Starr

Sustainability and Social Justice

This study analyzes the perception of safety among residents of Main South neighborhood in Worcester, MA, USA and compares it to reported crimes. This neighborhood is the focus of a community-based crime reduction project funded by the Bureau of Justice Assistance, the policy development arm of the U.S. Department of Justice. We collected social disorder and violent crime data from the Worcester Police Department and conducted 129 household surveys to understand residents’ perception of safety in the neighborhood and trust in community institutions. The surveys included a map on which residents indicated where they felt unsafe. The goal of this …

Analyzing Trends And Patterns In Adverse Birth Outcomes In Massachusetts From 2000-2014, Madeleine Haynes

International Development, Community and Environment (IDCE)

This study explores spatio-temporal trends and patterns in adverse birth outcomes (ABO) in the state of Massachusetts from 2000-2014. ABO include low birth weight (< 2500 g) and preterm deliveries (gestational age < 37 weeks). This research evaluates if there are areas in Massachusetts that have experienced statistically significant increases or decreases in ABO throughout the study period. Birth data was obtained from the Massachusetts Department of Public Health and only singleton, live births were included for the analysis. The data were aggregated to census tracts, and the total number of births and the number of ABOs were calculated for each census tract for each year. In total, 1478 census tracts were included in this analysis. Births to non-Hispanic black mothers and births to non-Hispanic white mothers were separated to evaluate if trends in ABO are similar regardless of race as previous literature has identified a much higher rate of ABO in births to non-Hispanic black women. Trends and patterns of ABO were evaluated using the Space Time Cube and the Mann-Kendall statistic and a multivariate regression was conducted to identify potential correlations between socioeconomic factors and prevalence of ABO. Results of this study can be used to identify areas that are experiencing an increase in ABO to potentially allow for more effective, targeted intervention methods.

Cognitive Biases About Climate Variability In Smallholder Farming Systems In Zambia, Kurt B. Waldman, Noemi Vergopolan, Shahzeen Z. Attari, Justin Sheffield, Lyndon Estes, Kelly K. Caylor, Tom P. Evans

Geography

Given the varying manifestations of climate change over time and the influence of climate perceptions on adaptation, it is important to understand whether farmer perceptions match patterns of environmental change from observational data. We use a combination of social and environmental data to understand farmer perceptions related to rainy season onset. Household surveys were conducted with 1171 farmers across Zambia at the end of the 2015/16 growing season eliciting their perceptions of historic changes in rainy season onset and their heuristics about when rain onset occurs. We compare farmers' perceptions with satellite-gauge-derived rainfall data from the Climate Hazards Group Infrared …

Resource Extraction And Infrastructure Threaten Forest Cover And Community Rights, Anthony Bebbington, Denise Humphreys Bebbington, Laura Sauls, John Rogan, Sumali Agrawal, César Gamboa, Aviva Imhof, Kimberly Johnson, Herman Rosa, Antoinette Royo, Tessa Toumbourou, Ricardo Verdum

Sustainability and Social Justice

Mineral and hydrocarbon extraction and infrastructure are increasingly significant drivers of forest loss, greenhouse gas emissions, and threats to the rights of forest communities in forested areas of Amazonia, Indonesia, and Mesoamerica. Projected investments in these sectors suggest that future threats to forests and rights are substantial, particularly because resource extraction and infrastructure reinforce each other and enable population movements and agricultural expansion further into the forest. In each region, governments have made framework policy commitments to national and cross-border infrastructure integration, increased energy production, and growth strategies based on further exploitation of natural resources. This reflects political settlements among …

Middle-Range Theories Of Land System Change, P. Meyfroidt, Rinku Roy Chowdhury, A. De Bremond, E. C. Ellis, K. H. Erb, T. Filatova, R. D. Garrett, J. M. Grove, A. Heinimann, T. Kuemmerle, C. A. Kull, E. F. Lambin, Y. Landon, Y. Le Polain De Waroux, P. Messerli, D. Müller, J. Nielsen, G. D. Peterson, V. Rodriguez García, M. Schlüter, B. L. Turner, P. H. Verburg

Geography

Changes in land systems generate many sustainability challenges. Identifying more sustainable land-use alternatives requires solid theoretical foundations on the causes of land-use/cover changes. Land system science is a maturing field that has produced a wealth of methodological innovations and empirical observations on land-cover and land-use change, from patterns and processes to causes. We take stock of this knowledge by reviewing and synthesizing the theories that explain the causal mechanisms of land-use change, including systemic linkages between distant land-use changes, with a focus on agriculture and forestry processes. We first review theories explaining changes in land-use extent, such as agricultural expansion, …

U.S. Fish And Wildlife Service Summer Fellowship: Gis Study Of Threatened And Endangered Species In Colorado, Jeanie Lai

International Development, Community and Environment (IDCE)

This report provides a detailed account of my fellowship experience with the U.S. Fish and Wildlife Service (USFWS) Region 6 Office in Lakewood, CO during the summer of 2017 made possible by the Student Conservation Association (SCA) sponsored by Directorate Fellows Program. The internship was completed in the Region 6’s Branch of Decision Support in Ecological Services under the direction of Spatial Ecologist John Guinotte. I was a GIS Technician tasked with work responsibilities involving listed threatened and endangered species relevant to the region. Those work responsibilities included refining spatial Area of Influence (AOI) ranges, updating databases, and creating a …

The Etm And Alce Testing: Summer Internship In Clark Labs, Wenle Jiang

International Development, Community and Environment (IDCE)

Abstract

The ETM and ALCE testing: Summer internship in Clark labs

Wenle Jiang

This paper is a description of my internship with Clark Labs in the summer of 2017. I worked as research assistant responsible for testing the Earth Trends Modeler and the American Land Change Explorer. Earth Trends Modeler is a revolutionary earth observation tool that allows for the modeling and analysis of earth trends and ecosystem dynamics. The American Land Change Explorer (ALCE) is a free web application designed to illustrate the potential of predictive land change modeling using a subscription-based service called the American Land Change Modeler …

Creating Web Maps Of Forest Restoration Plots At Iracambi Atlantic Rainforest Research Center, Minas Gerais, Brazil, Daniel Lassila

International Development, Community and Environment (IDCE)

The purpose of this report is to provide a detailed account, discussion, and analysis of my internship at Iracambi Atlantic Rainforest Research Center in Minas Gerais, Brazil during the summer of 2017, where I worked under the direction of GIS Supervisor Mr. Cliff Jones. The central focus of my work dealt with consolidating existing GIS data on the organization’s rainforest restoration effort into a single normalized database - based on the Atlantic Forest Restoration Pact, creating a structure for future forest restoration volunteers including enabling offline field collection using Collector for ArcGIS, then creating an ArcGIS Online web map based …

Mapping Energy Access In Rural Tanzania: 2017 Summer Internship With The World Resources Institute, Naramena Mccray

International Development, Community and Environment (IDCE)

This report details my 2017 summer internship experience; both the report and the internship being requirements of the GIS for Development and Environment Graduate Degree at Clark University. My internship was hosted by the World Resources Institute, an international non-profit organization in Washington D.C. As implied by my position title, “Energy Access-GIS Intern”, I spent the duration of my internship (14 weeks) applying my geospatial expertise to address the topic of energy access which is an issue effecting rural areas of many developing countries. I was given the responsibility of creating an interactive map application of Tanzania accessible by energy …