{"status": "Complete", "organizations": [{"category": "Academic", "logo_name": "09_20_38_65_EPSCoR_300x300.png", "name": "EPSCoR - Alaska Adapting to Changing Environments", "description": "Experimental Program to Stimulate Competitive Research - A nationwide research funding program administered by the National Science Foundation.    http://www.alaska.edu/epscor/"}, {"category": "Federal", "logo_name": "6jc8g1ukz3_NSF.png", "name": "National Science Foundation", "description": "The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 \"to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense\u2026\""}], "links": [{"url": "http://listserver.ciesin.columbia.edu/cgi-bin/wa?A3=ind1401&L=PERN&E=quoted-printable&P=5470&B=------%3D_NextPart_000_02F9_01CF0AC6.A4BFCF70&T=text%2Fhtml;%20charset=us-ascii&pending=", "category": "Website", "display_text": "Publisher's Website"}], "collections": [], "description": "To approach human-environment dynamics and relationships, it is necessary to combine human and environmental data. Considering the movement towards interdisciplinary and transdisciplinary research, this integration of social surveys and environmental datasets is becoming more and more relevant. In this workshop, we provide a review of the technical approaches for linking human and environmental data. This is intended to give new researchers a background on methods and considerations in analysis of these topics and also to practice building and applying these tools. The first half of the workshop will provide a general overview of statistical diagnostic tools and modeling approaches (such as spatial multilevel modeling and agent-based modeling). We will then highlight a range of platforms available for beginner to advanced practitioners. Finally, we will discuss how to choose the appropriate techniques for addressing specific research questions. The second half of the workshop will focus on example applications using real-world datasets. These applications will provide participants with understanding of the kinds of questions that can and cannot be answered with existing tools, a background of format, confidentiality, and data quality concerns, and familiarity with some common software platforms.", "end_date": null, "title": "Landscape-Population Analysis: Linking social surveys to environmental data for inquiry. 2014 US-IALE Annual Meeting. Anchorage, Alaska.", "other_contacts": [], "iso_topics": ["007"], "tags": ["human-environment relationships"], "bounds": [{"geom": "{\"type\":\"Point\",\"coordinates\":[-149.91125967511113,61.23157861187352]}", "type": "Attachment"}], "start_date": null, "regions": ["Alaska"], "other_agencies": "National Science Foundation", "data_types": [{"name": "Report", "description": null}], "archived_at": null, "primary_contacts": [{"phone": null, "name": "Tania  Clucas", "email": "thclucas@alaska.edu"}], "type": {"color": "#c09853", "name": "Project", "description": "catalog record for projects with no associated data/observation files"}, "slug": "landscape-population-analysis-linking-social-surveys-to-environmental-data-for-inquiry-2014-us-iale-annual-meeting-anchorage-alaska", "attachments": [{"category": "Geojson", "file_name": "imported_locations", "description": "gLynx locations", "file_size": 158}]}