4 results
Search Results
2. Demand and level of service inflation in Floating Catchment Area (FCA) methods.
- Author
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Paez, Antonio, Higgins, Christopher D., and Vivona, Salvatore F.
- Subjects
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WATERSHEDS , *IMPEDANCE matrices , *MEDICAL care , *SUPPLY & demand , *METROPOLITAN areas - Abstract
Floating Catchment Area (FCA) methods are a popular tool to investigate accessibility to public facilities, in particular health care services. FCA approaches are attractive because, unlike other accessibility measures, they take into account the potential for congestion of facilities. This is done by 1) considering the population within the catchment area of a facility to calculate a variable that measures level of service, and then 2) aggregating the level of service by population centers subject to catchment area constraints. In this paper we discuss an effect of FCA approaches, an artifact that we term demand and level of service inflation. These artifacts are present in previous implementations of FCA methods. We argue that inflation makes interpretation of estimates of accessibility difficult, which has possible deleterious consequences for decision making. Next, we propose a simple and intuitive approach to proportionally allocate demandand and level of service in FCA calculations. The approach is based on a standardization of the impedance matrix, similar to approaches popular in the spatial statistics and econometrics literature. The result is a more intiuitive measure of accessibility that 1) provides a local version of the provider-to-population ratio; and 2) preserves the level of demand and the level of supply in a system. We illustrate the relevant issues with some examples, and then empirically by means of a case study of accessibility to family physicians in the Hamilton Census Metropolitan Area (CMA), in Ontario, Canada. Results indicate that demand and supply inflation/deflation affect the interpretation of accessibility analysis using existing FCA methods, and that the proposed adjustment can lead to more intuitive results. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
3. Large-scale probabilistic identification of boreal peatlands using Google Earth Engine, open-access satellite data, and machine learning.
- Author
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DeLancey, Evan Ross, Kariyeva, Jahan, Bried, Jason T., and Hird, Jennifer N.
- Subjects
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MACHINE learning , *TAIGA ecology , *TAIGAS , *AQUATIC sciences , *PHYSICAL sciences , *EARTH sciences , *ENVIRONMENTAL sciences - Abstract
Freely-available satellite data streams and the ability to process these data on cloud-computing platforms such as Google Earth Engine have made frequent, large-scale landcover mapping at high resolution a real possibility. In this paper we apply these technologies, along with machine learning, to the mapping of peatlands–a landcover class that is critical for preserving biodiversity, helping to address climate change impacts, and providing ecosystem services, e.g., carbon storage–in the Boreal Forest Natural Region of Alberta, Canada. We outline a data-driven, scientific framework that: compiles large amounts of Earth observation data sets (radar, optical, and LiDAR); examines the extracted variables for suitability in peatland modelling; optimizes model parameterization; and finally, predicts peatland occurrence across a large boreal area (397, 958 km2) of Alberta at 10 m spatial resolution (equalling 3.9 billion pixels across Alberta). The resulting peatland occurrence model shows an accuracy of 87% and a kappa statistic of 0.57 when compared to our validation data set. Differentiating peatlands from mineral wetlands achieved an accuracy of 69% and kappa statistic of 0.37. This data-driven approach is applicable at large geopolitical scales (e.g., provincial, national) for wetland and landcover inventories that support long-term, responsible resource management. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
4. Annual Meeting of the National Council for Geographic Education.
- Author
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Bencloski, Joseph W.
- Subjects
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CONFERENCES & conventions , *GEOGRAPHY , *COLLEGE teachers , *EDUCATION , *EARTH sciences , *PHYSICAL geography - Abstract
The article focuses on the 84th Annual Meeting of the National Council for Geographic Education. The conference was attended by 522 college and university professors, K-12 teachers, and students from all parts of North America. Snowbird was one of the more successful recent meetings and those in attendance represented about 23% of the Council's individual members. The conference attracted participants from such distant locations as Alaska, Hawaii, Korea and Japan. Twenty-seven paper sessions and 40 workshops dealt with approaches to teaching regional and systematic geography, map and globe instruction, teaching techniques in human and physical geography.
- Published
- 1989
- Full Text
- View/download PDF
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