Draft Documentation

North Bay Wildfire Mapping

Perform spatial analysis of areas affected by the recent North Bay Fires which provides context through the lense of MTC policy layers. The analysis should also provide useful summaries related to impact on the build environment as well as the socio-economic inpact.

Project Management

• Asana Project
• Box
• AGOL

Contents

• Data Sources
• Analysis Parameters
• Methodology
• Expected Outcomes
• Results

Data Sources

• Calfire 2017 Statewide Fire Map
  • Download as kml
• SB35 Map Overlay (Draft)
• Communities of Concern 2017
• Priority Development Areas Current
• RHNA Sites
• ESRI Demographics

Sonoma Co. Service Layer from PRMD displaying fire damaged parcels from 10/17 wild fires.

• AGOL Feature Service
• AGOL Map Layer

Sonoma Co Structure Status

Feature Service for Structures that were either damaged or destroyed by the wildfires in Sonoma Co:

• AGOL Feature Service
• AGOL Map Layer

Napa County Bldg Dept. Structures (Inspections)

Feature Service showing locations where structures were damaged in Napa County. Includes All Buildings within Napa County

• AGOL Feature Service

Analysis Parameters

Methodology

Calfire Active Fire Perimeters

1. Downloaded Calfire Active Fires Data as kml
2. Ran KML to Layer
3. Exported perimeter features to project FGDB as CalFire_Active_Fire_Perimeters_2017
4. Run identity operation on perimeter features and Bay Area Counties and output to FGDB as Calfire_Active_Fire_Perimeters_2017_County

4A. Delete water areas (FID_Bay_Area_Counties = -1)

1. Run identity operation on perimeter features / counties & Bay Area Jurisdictions and output to FGDB as Calfire_Active_Fire_perimeters_2017_County_Jurisdictions
2. Dissolve perimeter features by fire name and county, and jurisdiction & output new feature to FGDB as Calfire_Active_Fire_Perimeters_2017_disso

Calfire Active Fire Perimeters Demographics

1. Run North_Bay_Wildfire_Analysis.py script to add demographic data. Script uses enrich layer function which leverages Esri Demographics

Calfire Active Fire Perimeters Policy

1. Run identity function on Calfire_Active_Fire_Perimeters_2017_disso and each policy layer
   • RHNA
   • Priority Development Areas
   • SB35 Exclusion Areas
   • Communities of Concern
2. Create new column called ‘Policy_Intersect’

1. Dissolve on fire perimeter name, county name, jurisdiction, and policy output as Calfire_Active_Fire_Perimeters_2017_Policy
2. Add geometry attributes (acres)

Calfire Active Fire Demographics Land Use

tbd

Expected Outcomes

Maps

• Print Map of North Bay Areas affected by wildfire overlain with PDAs, CoCs, SB35 Excluded Areas

Data Summaries

• Parcels
  • total number of affected parcels
  • Parcel type (single family, multi-family, public land, other?)
• Amount of housing growth projected by PBA2040
• Population affected
  • Total population
  • Racial composition
  • Income
  • Age
  • Rent vs. Own

Results

Final Tabular Data Summaries

• NorthBay_Wildfire_Analysis

Intermediate Data

• Intermediate Data (Data not in a feature dataset)

Final Data

• Final
  • Calfire_Active_Fire_Perimeters_2017_disso
  • Calfire_Active_Fire_Perimeters_2017_Demo
  • Calfire_Active_Fire_Perimeters_2017_Policy
  • Calfire_Active_Fire_Perimeters_2017_LandUse_disso

Maps

• NorthBayWildfireMap_LandUse_V1
• NorthBayWildfireMap_Policy_V1