14 Data

library(sf)

14.1 Madrid AirBnb

This dataset contains a pre-processed set of properties advertised on the AirBnb website within the region of Madrid (Spain), together with house characteristics.

Availability

The dataset is stored on a Geopackage that can be found, within the structure of this project, under:

path <- "data/assignment_1_madrid/madrid_abb.gpkg"

db <- st_read(path)

Reading layer `madrid_abb' from data source 
  `/Users/franciscorowe/Dropbox/Francisco/Research/sdsm_book/smds/data/assignment_1_madrid/madrid_abb.gpkg' 
  using driver `GPKG'
Simple feature collection with 18399 features and 16 fields
Geometry type: POINT
Dimension:     XY
Bounding box:  xmin: -3.86391 ymin: 40.33243 xmax: -3.556 ymax: 40.56274
Geodetic CRS:  WGS 84

Variables

For each of the 17 properties, the following characteristics are available:

price: [string] Price with currency
price_usd: [int] Price expressed in USD
log1pm_price_usd: [float] Log of the price
accommodates: [integer] Number of people the property accommodates
bathrooms: [integer] Number of bathrooms
bedrooms: [integer] Number of bedrooms
beds: [integer] Number of beds
neighbourhood: [string] Name of the neighbourhood the property is located in
room_type: [string] Type of room offered (shared, private, entire home, hotel room)
property_type: [string] Type of property advertised (apartment, house, hut, etc.)
WiFi: [binary] Takes 1 if the property has WiFi, 0 otherwise
Coffee: [binary] Takes 1 if the property has a coffee maker, 0 otherwise
Gym: [binary] Takes 1 if the property has access to a gym, 0 otherwise
Parking: [binary] Takes 1 if the property offers parking, 0 otherwise
km_to_retiro: [float] Euclidean distance from the property to the El Retiro park
geom: [geometry] Point geometry

Projection

The location of each property is stored as point geometries and expressed in longitude and latitude coordinates:

st_crs(db)

Coordinate Reference System:
  User input: WGS 84 
  wkt:
GEOGCRS["WGS 84",
    ENSEMBLE["World Geodetic System 1984 ensemble",
        MEMBER["World Geodetic System 1984 (Transit)"],
        MEMBER["World Geodetic System 1984 (G730)"],
        MEMBER["World Geodetic System 1984 (G873)"],
        MEMBER["World Geodetic System 1984 (G1150)"],
        MEMBER["World Geodetic System 1984 (G1674)"],
        MEMBER["World Geodetic System 1984 (G1762)"],
        MEMBER["World Geodetic System 1984 (G2139)"],
        ELLIPSOID["WGS 84",6378137,298.257223563,
            LENGTHUNIT["metre",1]],
        ENSEMBLEACCURACY[2.0]],
    PRIMEM["Greenwich",0,
        ANGLEUNIT["degree",0.0174532925199433]],
    CS[ellipsoidal,2],
        AXIS["geodetic latitude (Lat)",north,
            ORDER[1],
            ANGLEUNIT["degree",0.0174532925199433]],
        AXIS["geodetic longitude (Lon)",east,
            ORDER[2],
            ANGLEUNIT["degree",0.0174532925199433]],
    USAGE[
        SCOPE["Horizontal component of 3D system."],
        AREA["World."],
        BBOX[-90,-180,90,180]],
    ID["EPSG",4326]]

Source & Pre-processing

The data are sourced from Inside Airbnb. A Jupyter notebook in Python (available at data/assignment_1_madrid/clean_data.ipynb) details the process from the original file available from source to the data in madrid_abb.gpkg.

14.2 England COVID-19

This dataset contains:

daily COVID-19 confirmed cases from 1st January, 2020 to 2nd February, 2021 from the GOV.UK dashboard;
resident population characteristics from the 2011 census, available from the Office of National Statistics; and,
2019 Index of Multiple Deprivation (IMD) data from GOV.UK and published by the Ministry of Housing, Communities & Local Government.

The data are at the Upper Tier Local Authority District (UTLAD) level - also known as Counties and Unitary Authorities.

Availability

The dataset is stored on a Geopackage:

sdf <- st_read("data/assignment_2_covid/covid19_eng.gpkg")

Reading layer `covid19_eng' from data source 
  `/Users/franciscorowe/Dropbox/Francisco/Research/sdsm_book/smds/data/assignment_2_covid/covid19_eng.gpkg' 
  using driver `GPKG'
Simple feature collection with 149 features and 507 fields
Geometry type: MULTIPOLYGON
Dimension:     XY
Bounding box:  xmin: 134112.4 ymin: 11429.67 xmax: 655653.8 ymax: 657536
Projected CRS: OSGB36 / British National Grid

Variables

The data set contains 508 variables:

objectid: [integer] unit identifier
ctyua19cd: [integer] Upper Tier Local Authority District (or Counties and Unitary Authorities) identifier
ctyua19nm: [character] Upper Tier Local Authority District (or Counties and Unitary Authorities) name
Region: [character] Region name
long: [numeric] longitude
lat: [numeric] latitude
st_areasha: [numeric] area in hectare
X2020.01.31 to X2021.02.05: [numeric] Daily COVID-19 cases from 31st January, 2020 to 5th February, 2021
IMD...Average.score - IMD.2019...Local.concentration: [numeric] IMD indicators - for details see File 11: upper-tier local authority summaries.
Residents: [numeric] Total resident population
Households: [numeric] Total households
Dwellings: [numeric] Total dwellings
Household_Spaces: [numeric] Total household spaces
Aged_16plus to Other_industry: [numeric] comprise 114 variables relating to various population and household attributes of the resident population. A description of all these variables can be found here
geom: [geometry] Point geometry

Projection

Details of the coordinate reference system:

st_crs(sdf)

Coordinate Reference System:
  User input: OSGB36 / British National Grid 
  wkt:
PROJCRS["OSGB36 / British National Grid",
    BASEGEOGCRS["OSGB36",
        DATUM["Ordnance Survey of Great Britain 1936",
            ELLIPSOID["Airy 1830",6377563.396,299.3249646,
                LENGTHUNIT["metre",1]]],
        PRIMEM["Greenwich",0,
            ANGLEUNIT["degree",0.0174532925199433]],
        ID["EPSG",4277]],
    CONVERSION["British National Grid",
        METHOD["Transverse Mercator",
            ID["EPSG",9807]],
        PARAMETER["Latitude of natural origin",49,
            ANGLEUNIT["degree",0.0174532925199433],
            ID["EPSG",8801]],
        PARAMETER["Longitude of natural origin",-2,
            ANGLEUNIT["degree",0.0174532925199433],
            ID["EPSG",8802]],
        PARAMETER["Scale factor at natural origin",0.9996012717,
            SCALEUNIT["unity",1],
            ID["EPSG",8805]],
        PARAMETER["False easting",400000,
            LENGTHUNIT["metre",1],
            ID["EPSG",8806]],
        PARAMETER["False northing",-100000,
            LENGTHUNIT["metre",1],
            ID["EPSG",8807]]],
    CS[Cartesian,2],
        AXIS["(E)",east,
            ORDER[1],
            LENGTHUNIT["metre",1]],
        AXIS["(N)",north,
            ORDER[2],
            LENGTHUNIT["metre",1]],
    USAGE[
        SCOPE["Engineering survey, topographic mapping."],
        AREA["United Kingdom (UK) - offshore to boundary of UKCS within 49°45'N to 61°N and 9°W to 2°E; onshore Great Britain (England, Wales and Scotland). Isle of Man onshore."],
        BBOX[49.75,-9,61.01,2.01]],
    ID["EPSG",27700]]