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Honey bee colony losses are a major concern in the USA and across the globe. Long-term data on losses are critical for putting yearly losses in context. US colony loss surveys have been conducted yearly since the winter of 2006–2007. Here, we report the results from the eighth annual survey on winter losses and the second annual survey of summer and annual(More)
Designing usable geovisualization tools is an emerging problem in GIScience software development. We are often satisfied that a new method provides an innovative window on our data, but functionality alone is insufficient assurance that a tool is applicable to a problem in situ. As extensions of the static methods they evolved from, geovisualization tools(More)
Vast digital data resources are being produced that include geospatial referencing, from precise geographic coordinates (e.g., generated by GPS receivers in vehicles , PDAs, cell phones, and other devices), through street addresses, to codes for administrative and other regions (e.g., zip codes, census tracts FIPS codes, drainage basin indices). A few(More)
We introduce an approach to visual analysis of multivariate data that integrates several methods from information visualization, exploratory data analysis (EDA), and geovisualization. The approach leverages the component-based architecture implemented in GeoVISTA Studio to construct a flexible, multiview, tightly (but generically) coordinated, EDA toolkit.(More)
BACKGROUND Kulldorff's spatial scan statistic and its software implementation - SaTScan - are widely used for detecting and evaluating geographic clusters. However, two issues make using the method and interpreting its results non-trivial: (1) the method lacks cartographic support for understanding the clusters in geographic context and (2) results from the(More)
This paper describes the design and implementation of three web-based geovisualization and geocollaboration applications developed for the domain of public health. Each was implemented using Web 2.0 architecture. First, the Pennsylvania Cancer Atlas is a web-based geovisualization tool for the exploration of county-level cancer incidence rates using(More)
BACKGROUND The Pennsylvania Cancer Atlas (PA-CA) is an interactive online atlas to help policy-makers, program managers, and epidemiologists with tasks related to cancer prevention and control. The PA-CA includes maps, graphs, tables, that are dynamically linked to support data exploration and decision-making with spatio-temporal cancer data. Our Atlas(More)
BACKGROUND In the United States, colorectal cancer (CRC) is the third most frequently diagnosed cancer and second leading cause of cancer death. Screening is a primary method to prevent CRC, yet screening remains low in the U.S. and particularly in Appalachian Pennsylvania, a largely rural area with high rates of poverty, limited health care access, and(More)
INTRODUCTION The Appalachian region of the United States has disproportionately high colorectal cancer (CRC) death rates and low screening rates. The purpose of this pilot study was to assess acceptability of a take-home fecal immunochemical test (FIT) and the effect of follow-up telephone counseling for increasing CRC screening in rural Appalachia. (More)
INTRODUCTION Local coalitions combine the knowledge, expertise, and resources of many individuals and organizations to improve community health. This article describes data from 11 rural cancer coalitions in Pennsylvania and New York collected through a model-based data system. METHODS The coalition data collection system was adapted from a conceptual(More)