Description: This model assigns critical infrastructure risk based upon density of locations of essential service facilities. Essential Services facilities include evacuation pick-up points shelters, police stations, fire stations, EMS stations, and hospitals. Kernel Density of essential service facilities was derived using 1/4 mile (equivalent to 5 minute walk) circular radius. The resulting density raster was broken into priority classes using slice tool and a natural breaks classification using scale of 0 to 5.
Description: This model assigns critical infrastructure risk based upon density of locations of other emergency facilities. Other emergency facilities include community centers and other medical facilitiesKernel Density of high potential loss facilities was derived using 1/4 mile (equivalent to 5 minute walk) circular radius. The resulting density raster was broken into priority classes using slice tool and a natural breaks classification using scale of 0 to 5.
Description: This model assigns critical infrastructure risk based upon density of locations of dependent population facilities. Dependent Population facilities include long-term care facilities, nursing homes, daycare facilities, and prisons.
Description: This model assigns critical infrastructure risk based upon density of locations of high potential loss facilities. High potential loss facilities include flood gates, hydraulic section points, locks, pump stations, other structures, water treatment plant, and sewer treatment plant.
Description: This model assigns critical infrastructure risk based upon density of locations of institutional facilities. Institutional facilities include colleges, universities, historic facilities, and museums.
Description: The Trust for Public Land’s Climate-Smart Cities Program is founded on the principle that to respond to climate change, cities must restore natural functions of the land by weaving green elements into the built environment. The Climate Smart Cities Program helps cities meet the challenges through the development of spatial data and decision support tools that translate the goals from a city’s strategic climate planning into priority sites for green infrastructure development. The Climate Smart Cities Program categorizes these strategies under the climate objectives of Connect, Cool, Absorb, and Protect. The rasters in the absorb geodatabase help identify features of the landscape are that particularly vulnerable to the impacts of climate change. (Highest priority areas are in red).This model assigns critical infrastructure risk based upon density of locations of utility and communication facilities. Utility and communication facilities include pump stations It does not include power substations. The point locations were unavailable due to security concerns.Kernel Density of utility and communication facilities was derived using 1/4 mile (equivalent to 5 minute walk) circular radius. The resulting density raster was broken into priority classes using slice tool and a natural breaks classification using scale of 0 to 5.Data interpretation:5 = Very High Priority for Green Infrastructure4 = High Priority for Green Infrastructure 3 = Medium Priority for Green Infrastructure 0-2 = Low ValueValues 3, 4, and 5 should be used when assessing highest prioritization from the model.
Description: The Trust for Public Land’s Climate-Smart Cities Program is founded on the principle that to respond to climate change, cities must restore natural functions of the land by weaving green elements into the built environment. The Climate Smart Cities Program helps cities meet the challenges through the development of spatial data and decision support tools that translate the goals from a city’s strategic climate planning into priority sites for green infrastructure development. The Climate Smart Cities Program categorizes these strategies under the climate objectives of Connect, Cool, Absorb, and Protect. The rasters in the absorb geodatabase help identify features of the landscape are that particularly vulnerable to the impacts of climate change. (Highest priority areas are in red).This model assigns critical infrastructure risk based upon density of locations of key transportation infrastructure. Key transportation infrastructure includes evacuation routes, ports, and bridges, Kernel Density of key transportation infrastructure including ports and the entrance and exits of bridges was derived using 1/4 mile (equivalent to 5 minute walk) circular radius. The resulting density raster was broken into priority classes using slice tool and a natural breaks classification using scale of 0 to 5. A Kernel Density of evacuation routes was derived using 1/8 mile search radius. The resulting line density raster was broken into priority classes using slice tool and a natural breaks classification using scale of 0 to 5. The point and line priority rasters were combined using equal weights.Data interpretation:5 = Very High Priority for Green Infrastructure4 = High Priority for Green Infrastructure 3 = Medium Priority for Green Infrastructure 0-2 = Low ValueValues 3, 4, and 5 should be used when assessing highest prioritization from the model.