Innovations in Freight Demand Modeling and Data Improvement (2014) / Chapter Skim
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Exploratory Use of Raster Images for Freight Modeling Pedro Camargo, Michael McNally, and Stephen Ritchie University of California, Irvine Presentation Notes: Presented by Pedro Camargo, University of California, Irvine. The California model is a commodity-based model, aggregated to 15 commodities.
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From page 52... ...
These data layers are geographical raster layers created using remote sensing technology and an automated classification software that, every five days, classifies each pixel of an image (translating to approximately 0.77 acre) into several categories which define different crops, urbanized areas, open water, etc.
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Preliminary Results Some preliminary models for disaggregating agricultural commodities were estimated using standard ordinary least squares (OLS) estimation procedures and their results are presented in Table 5.1.
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Results By computing the production of all products for all FAZs in each season, it was possible to compute a distribution of production in each one of these areas. For example, a group of zones north of San Francisco, specifically Marin County, has a very concentrated production, with more than 75% of the annual total being produced in a single season.
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