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Volunteer science programs are designed to increase public understanding and appreciation of science by creating opportunities for the public to engage in science. This research assesses the impact of Map of Life-Denali on its volunteers. This program calls on park visitors to record wildlife observations while they visit Denali National Park and Preserve, Alaska. This paper focuses specifically on place attachment and learning outcomes for the volunteers, who are mainly tourists. Results from volunteer surveys show positive volunteer outcomes of the program, with implications for the continuation of this program and the institution of others.

The implications of digital technologies for planning practice are receiving renewed interest in the wake of ever-improving capabilities in Big Data and artificial intelligence, as well as the rapid uptake of new technologies that allowed planners to work remotely during the COVID-19 pandemic. Despite this interest, there has been little cross-country comparative research regarding the adoption of technology within the planning profession and even less that addresses planners' expectations and desires for future digital tools. We undertook a multinational online survey of planners in the United States, Canada, the United Kingdom, Australia, and New Zealand to gain a comprehensive understanding of current and expected future use of data and software in planning practice. Although the current use of data-intensive digital tools was limited, we found widespread expectations of change across the planning profession. Remarkable similarities were observed across the countries surveyed. The biggest differences in tech use were among planners undertaking strategic, specialist, and regulatory roles. Planning organizations around the world should prepare for a new wave of digital change as many technical obstacles that previously hindered the rapid exchange and analysis of vast amounts of data have now been overcome. Continued development of digital skills among planners is important but should be paired with career pathways for digital specialists within the profession. Planners should not complacently assume that adopting digital technologies will automatically lead to more effective and equitable planning outcomes. They should use digital processes to actively address biases in the underlying planning system. [ABSTRACT FROM AUTHOR]

Community resilience refers to the ability for a geographic area to respond and adapt to acute shocks and long-term stresses. Geography research is well positioned to examine how communities can adapt to the compounding effects of climate change. Our work aims to analyze the factors that influence residential electricity in the context of increasing urban temperatures in Maricopa County, Arizona, coupled with the COVID-19 pandemic. Using census tracts as our basis for analysis, we quantified factors that influence electricity use related to neighborhood characteristics, home structures, social situations, pricing policies, and work-from-home estimates. Our findings suggest that the structure of the home (e.g., number of rooms and house size) influences the variation in residential electricity use, whereas trees and small-area temperatures were not factors. We then compared above-median-income census tracts to those that were below the median income. We found fewer factors influenced electricity use in the lower income census tracts and that they were also related mostly to the home structure. Our analysis did not reveal that working from home was significant, but we did find that the average household size was significant and that the amount of influence increased from 2019 to 2020, suggesting that the stay-at-home policies from the pandemic did affect electricity use. As we consider and implement work-from-home strategies, families need to recognize that the home structure plays a crucial role in determining electricity usage. [ABSTRACT FROM AUTHOR]

Two experiments investigating the benefit of computer-based applications in geography education are presented. The computer-based methods employ concepts of visualization, including animation and interactivity, to facilitate active learning. These computer-based methods are compared with physical (i.e. tangible) models, which themselves can be considered active learning tools. Thus, this report compares a pair of learning strategies using interactive external cognitive tools (one computer-based and one physical), rather than more typical studies which compare an approach using such interactive tools with an approach using more traditional lecture-based presentations. Results confirm existing findings that computer-based approaches are appealing to students but are not, by themselves, significantly beneficial in enabling understanding of complex concepts. Questions used in pre- and post-test for projection understanding are appended. (Contains 9 tables, 4 figures and 5 notes.)

In less‐developed countries, the lack of granular data limits the researcher's ability to study the spatial interaction of different factors on the COVID‐19 pandemic. This study designs a novel database to examine the spatial effects of demographic and population health factors on COVID‐19 prevalence across 640 districts in India. The goal is to provide a robust understanding of how spatial associations and the interconnections between places influence disease spread. In addition to the linear Ordinary Least Square regression model, three spatial regression models—Spatial Lag Model, Spatial Error Model, and Geographically Weighted Regression are employed to study and compare the variables explanatory power in shaping geographic variations in the COVID‐19 prevalence. We found that the local GWR model is more robust and effective at predicting spatial relationships. The findings indicate that among the demographic factors, a high share of the population living in slums is positively associated with a higher incidence of COVID‐19 across districts. The spatial variations in COVID‐19 deaths were explained by obesity and high blood sugar, indicating a strong association between pre‐existing health conditions and COVID‐19 fatalities. The study brings forth the critical factors that expose the poor and vulnerable populations to severe public health risks and highlight the application of geographical analysis vis‐a‐vis spatial regression models to help explain those associations. [ABSTRACT FROM AUTHOR]

Compares student reactions to traditional teaching methods and an approach where computer-based tools (GEODe CD-ROM and GIS-based exercises) were either integrated with or replaced the traditional methods. Reveals that the students found both of these tools valuable forms of instruction when used in combination with the traditional methods. (CMK)