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Pacific Northwest Agricultural Insurance Commodity Loss Dashboard – Climate Lag Correlations

Phase 2: Agricultural Commodity Loss: Missing Data Examination

  In Phase 2 of our examination of agricultural insurance loss across the Palouse region of the Pacific Northwest, we explore missing data that exists in an RMarkdown…

Phase 3: Agricultural Commodity Loss: Mixed Modeling

  In Phase 3 of our examination of agricultural insurance loss across the Palouse region of the Pacific Northwest, we perform mixed modeling analysis, using a two-step hurdle…

Pacific Northwest Agricultural Insurance Commodity Loss Dashboard – Gradient Boosting Prediction

Pacific Northwest Agricultural Insurance Commodity Loss NORMALS Dashboard

Pacific Northwest Agricultural Insurance Commodity Loss Dashboard

Erich Seamon

Hi – my name is Erich Seamon.   I am a Ph.D. candidate at the University of Idaho, working on machine learning techniques and their applications to agriculture and climate, under Dr. Paul Gessler.  I have extensive experience in data science, GIS, and climate science impacts, and am a certified Project Management Professional (PMP)  as well as a Geographic Information Systems Professional (GISP).

Climate Science Background and Experience

Below is a synopsis of several different climate science projects I have worked on over the past 10 years @ the University of Idaho.  I have particular experience…

GIS Background and Experience

I have a background in geographic information systems (GIS), using ArcGIS desktop, ArcGIS server, python, R, as well as managing spatial data within several flavors of databases (SQL Server, Oracle, DB2, MongoDB). I regularly deploy GIS-based web services, manage geodatabases, and use modeling efforts to understand spatial patterns and relationships.

ANALYSIS: Agricultural Commodity Loss Variations across the Pacific Northwest

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DASHBOARDS: Agricultural Insurance Commodity Loss