This spatial design research project started in 2010. The spatial decision support system is now an operational prototype , with at least one paper in preparation. The eventual link to the paper will be published here on the this page. The SDSS can be applied to any multi-allocation problem, and is currently applied to the Climate Portfolio allocation problem detailed by [Aplet and McKinley (2017).][1] A [video of the keynote presentation given by Dr. Gregory Aplet][2] at the Natural Areas Association Conference in Fall, 2016 overviews the portfolio approach and then showcases the SDSS. You can also [see the screen recordings][3] and slides of the presentations from the American Association of Geographers, April 1, 2016, and other materials, posted here on this site. We also presented this research again at the North American Congress of Conservation Biology in 2016, and can upload those slides upon request. One of the other public web-pages for this project (snapshot below in files) is here: [http://consbio.org/products/projects/three-zone-climate-adaptation-strategy][4] An Alternate Abstract for this research is as follows: Three challenges of spatial conservation prioritization are combining multi-attribute and multi-objective modeling (i.e. site prioritization and optimal sets), accounting for both connectivity and representation, and doing this with transparency to build trust and understanding to narrow the gap between planning and implementation. We developed an analytic framework to meet these challenges, built a corresponding spatial decision-support system prototype (LandAdvisor), and applied it to a three-zone proposal for adapting to the Anthropocene. The customizable framework can apply to other multiple objective problems, such as how to best allocate agricultural, rangeland, and nature conservation. LandAdvisor uses modelbuilder and python tools in ArcGIS, slated for open access release. Tools include advancements to Linkage Mapper (a connectivity modeling system), a new habitat representation algorithm, new normalization techniques in the hierarchical multi-criteria weighted linear combination, and a greedy heuristic. This is portrayed in an interactive logic model (using Prezi.com) and other documentation. LandAdvisor has a graphical user interface (EEMS Explorer) built upon databasin.org for navigating the logic model and viewing maps of criteria, derived criteria, or why a particular planning unit received a particular value. We simulated an expert workshop to parameterize the model and ran it with these parameters for a study area in the central Sierra Nevada. We then performed a targeted sensitivity analysis to corroborate that parameters were working as expected, to identify sensitivity of the parameters, and to visualize spatial uncertainty. The model and results are discussed and potential frontiers of research and practice are discussed. [1]: http://onlinelibrary.wiley.com/doi/10.1002/ehs2.1261/abstract [2]: http://cdnapi.kaltura.com/index.php/extwidget/preview/partner_id/1770401/uiconf_id/28589212/entry_id/0_je7bsg2d/embed/dynamic [3]: https://osf.io/p4xfa/ [4]: http://consbio.org/products/projects/three-zone-climate-adaptation-strategy