GEOG0163 Assessment: Data Descriptor Table
Each dataset used in your coursework needs to be recorded in your Data Descriptor Table. Please find all information that needs to be recorded in this table below. We recommend taking notes as you conduct your cleaning and processing to facilitate this write-up.
1.1 Dataset
Dataset name (either pre-given or provided on giving a best description of the data you are using), e.g. Crime Data, Fast Food Outlets, etc.
1.2 Metadata
Detail the file format (e.g. CSV, Shapefile, KML, geojson, GeoTIFF etc.), data format (e.g. Raster / Vector), Geometry Type (Vector only: Point, Line, Polygon), Coordinate Reference System, Spatial Resolution (Raster Only), Spatial Coverage (e.g. London, Borough of Camden), Temporal Resolution (Date of dataset or time range).
For example:
• ”A csv containing coordinates in British National Grid of fast-food outlets in London for 2018.”
• ”A shapefile (vector) containing building footprints (polygons) in WGS84 for the borough of Camden from 2021.”
• ”A GeoTIFF raster of NO2 concentration in January 2021 at 100m-by-100m resolution clipped to London.”
1.3 Source
Portal or Organisation name plus link to online access, where applicable. For instance: ”Hampshire Constabulary Police Data, from data.police.uk.”
1.4 Data license
Detail whether it an open or closed dataset. If open, state Open – plus license terms. If closed, state Closed – and explain how you gained access to dataset and licensing terms for that access.
1.5 Data Cleaning outside of R
Explain any cleaning steps you took prior to your data’s ingestion in R. This includes, but is not limited to:
• If you filtered the data prior to download, such as downloading from OpenStreetMap, please include a description of how you obtained them. For example: ”Use of osmdata R package to extract all motorways in greater London (UK) with the following query: [QUERY].”
• If you cleaned your data before using it within R, please outline your steps. For instance: ”Extraction of Sheet2 from Public Health England hospital admissions data Excel file, removal of top two rows, conversion to csv.”
1.6 Template
A template Data Descriptor Table in Word format is provided on Moodle.