Package index • climateapi

Point data

get_structures(): Estimate counts of hazard-impacted structures by structure type

Block data

get_lodes(): Get LEHD Origin-Destination Employment Statistics (LODES) data Returned data are from LODES Version 8, which is enumerated in 2020-vintage geometries.

Cities data

get_sba_loans(): Access SBA data on disaster loans

Government unit data

get_government_finances(): Get government unit-level expenses from the Census of Governments

County data

get_business_patterns(): Obtain County Business Patterns (CBP) Estimates per County

get_nfip_policies_county(): Access county-level data on NFIP policies

get_fema_disaster_declarations_county(): Get major disaster declarations by county

get_ihp_registrations(): Get Individuals and Households Program (IHP) registrations

get_sheldus_county(): Access temporal county-level SHELDUS hazard counts.

Event boundaries

get_current_fire_perimeters(): Acquire wildfire perimeters

Land use

estimate_zoning_envelope(): Calculate the number of units allowed on a parcel

estimate_units_per_parcel(): Estimate the number and types of structures per parcel

interpolate_demographics(): Interpolate tract-level sociodemographic data to zoning polygons

Utilities

get_system_username(): Get the user's username

get_box_path(): Get the path to the C&C Box folder

get_dataset_columns(): Get the raw column names for a specified dataset

convert_delimited_to_parquet(): Convert raw data to parquet to conserve memory / speed subsequent operations

get_spatial_extent_census(): Get the Census geographies that overlap with the input spatial dataset

read_xlsx_from_url(): Download a .xlsx file(s) from a URL(s)

subdivide_linestring(): Subdivide a linestring into segments of a specified length

polygons_to_linestring(): Convert polygons into their component linestrings

read_ipums_micro_cached(): Read cached IPUMS microdata

qualtrics_format_metadata(): Prep Qualtrics metadata

qualtrics_get_metadata(): Access Qualtrics metadata

qualtrics_plot_question(): Plot responses to Qualtrics survey questions

qualtrics_define_missing(): Fill in missing and non-missing values across interrelated survey questions