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Archaeological predictive model set.

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English


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  • Abstract:
    This report is the documentation for Task 7 of the Statewide Archaeological Predictive Model Set. The goal of this project is to ; develop a set of statewide predictive models to assist the planning of transportation projects. PennDOT is developing tools to ; streamline individual projects and facilitate Linking Planning and NEPA, a federal initiative requiring that NEPA activities be ; integrated into the planning phases for transportation projects. The purpose of Linking Planning and NEPA is to enhance the ability ; of planners to predict project schedules and budgets by providing better environmental and cultural resources data and analyses. ; To that end, PennDOT is sponsoring research to develop a statewide set of predictive models for archaeological resources to help ; project planners more accurately estimate the need for archaeological studies. ; The outcome of this project, contained in seven task-specific reports, documents the development of numerous statistical models ; created to assess the sensitivity of the landscape for the presence of Native American archaeological sites. The seven task reports ; of this project are organized as follows: Task 1, background literature review; Task 2, organization of study areas by physiography; ; Task 3, pilot model study; Task 4, models and results for Regions 1, 2, and 3; Task 5, models and results for Regions 4, 5, and 6; ; Task 6, models and results for Regions 7, 8, 9, and 10; and Task 7, final project synthesis. Each of Tasks 4, 5, and 6 document the ; bulk of this undertaking by describing the data preparation, model building process, and results for each of 10 regions that ; constitute the Commonwealth of Pennsylvania. The Task 7 report synthesizes the methodologies, illuminates the model building ; process, discusses model validation and findings, and offers possible avenues for future research.
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    Filetype[PDF - 84.04 MB]
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    urn:sha256:ef15afb2f57009c5b20688287171f76b9fb22d7ee14c91277200864f8a31f387
File Language:
English
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