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Shapefiles used in the optimization model presented in "High value of ecological information for river connectivity restoration" (Sethi et al.) In Review. Abstract: Efficient restoration of longitudinal river connectivity necessitates the use of sophisticated planning tools to maximize ecological benefits given constrained resources. Typically, ecological benefits of river barrier mitigation are measured using proxies such as the amount of accessible riverine habitat. We develop an optimization-based approach for targeting barrier mitigation which incorporates life history information of managed taxa. Findings are presented from an urbanizing salmon-bearing watershed in Alaska. Solutions informed by life history information outperformed those using only river connectivity proxies, demonstrating high value of ecological information in watershed restoration. For our study area, information on salmon ecology was typically valued at 0.8-1.2M USD based on costs savings for achieving a given benefit level relative to solutions derived with river connectivity proxies. This equated to 16-28% of the restoration budget. Investing in ecological studies may achieve win-win outcomes of improved understanding of aquatic ecology and greater watershed restoration efficiency.
Data Types:
  • Software/Code
  • Geospatial Data
  • Document
  • File Set
Replication code and sample data used for above mentioned publication in Political Analysis.
Data Types:
  • Software/Code
  • Geospatial Data
  • Document
  • File Set
This folder contains the contents of a project examining the relationship between demographics and nearby early vote locations in the 2016 and 2012 elections in North Carolina. FILES: * derived: This folder contains data produced by nc_evote_analysis.do * maptile: This folder contains the files needed to define a “ncvtd” (North Carolina Voting Tabulation District) geography for the Maptile Stata program. Once Maptile is installed, drag these files to the same folder as the Maptile ado file in your personal ado folder. * nc_evote_analysis.do: The Stata DO-File that processes raw data and produces results * source: This folder contains the source data for the project. Some of these files are raw downloads, while others were created manually from a combination of inputs * tables_figures: This folder contains tables and figures produced by nc_evote_analysis.do
Data Types:
  • Software/Code
  • Geospatial Data
  • Tabular Data
  • Document
  • Text
  • File Set
The aim of this paper is to examine and quantify the relationship between regular immigration and vote for anti-immigration parties in Italy’s eight Northern regions – from 1992 to 2015 – and in Italy’s 45 Northern provinces from 2004 to 2015. Firstly, we identified the Lega Nord as Italy’s main xenophobic party, then we used a fixed effects regression model for panel data to test our hypothesis, while controlling for a series of social, political and economic variables. Our results suggest that there is a positive and significant effect: an increase of 1% in the number of new regular immigrants is associated with an increase of more than 2% in the votes expressed to the Lega Nord, voters turnout is significantly and negatively associated with Lega Nord’s votes and a high perception of crime – but not actual crime – is positively associated with anti-immigration votes. At the provincial level we also found a positive association between Muslim foreign population and Lega Nord’s votes. These results ought to be considered along with the fact that Northern Italy is highly representative of the wealthiest and most densely populated regions of Europe, suggesting the possibility that similar phenomena could be witnessed in other comparable contexts.
Data Types:
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  • Software/Code
  • Geospatial Data
  • Tabular Data
  • Document
Islands, Lake Victoria, Vector Polygon, ~2015 Reference Information and Units: Projected Coordinate System: Africa Lambert Conformal Conic ESRI:102024 (https://epsg.io/102024) GCS: GCS_WGS_1984 File Naming Convention: LV_Islands_Polygon.shp Data Origin: Created from using Shoreline data that was created from manual digitization from open-source imagery Data Development: This data was created by extracting all islands from the shoreline poly shapefile by using a combination or Erase, Explode, and delete to leave only internal LV Islands. Next the area of each island was calculated. These are the island polygons.
Data Types:
  • Software/Code
  • Geospatial Data
  • Document
  • File Set
Islands, Lake Victoria, Vector Polyline, ~2015 Reference Information and Units: Projected Coordinate System: Africa Lambert Conformal Conic ESRI:102024 (https://epsg.io/102024) GCS: GCS_WGS_1984 File Naming Convention: LV_Islands_Line.shp Data Origin: Created from using Shoreline data that was created from manual digitization from open-source imagery Data Development: This data was created by extracting all islands from the shoreline poly shapefile by using a combination or Erase, Explode, and delete to leave only internal LV Islands. Next the area of each island was calculated. These are the island polygons. Finally the polygons were converted to lines to form the island lines
Data Types:
  • Software/Code
  • Geospatial Data
  • Document
  • File Set
Program MARK input text file for hellbender encounters 2004-2008
Data Types:
  • Geospatial Data
The 1904-07 Prussian maps show the footprints of settlements including the outlines of city walls. Small areas around each capital in the ChinaW file were clipped from the georeferenced maps. Filenames contain the ChinaW ID number for each city.
Data Types:
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  • Geospatial Data
  • Image
  • File Set
Review of Economics and Statistics: Forthcoming.
Data Types:
  • Software/Code
  • Geospatial Data
  • Tabular Data
  • Document
  • Text
Bathymetry Contours, Lake Victoria, Vector Line, ~2016 Reference Information and Units: Projected Coordinate System: Africa Lambert Conformal Conic ESRI:102024 (https://epsg.io/102024) GCS: GCS_WGS_1984 File Naming Convention: lv_bathy_contours.shp Data Origin: These contours were made from the Lake Victoria bathymetry map. Data Development: These contours were created at 5 meters using the Lake Victoria bathymetry map that was created from points taken from an admiral bathymetry map and from points taken in the field. Additional Information: Full information can be found at: http://bit.ly/LV_Bathy
Data Types:
  • Software/Code
  • Geospatial Data
  • Document
  • File Set