Large Data Set/Sampling Methods Flashcards
Locations included in large data set?
Leuchars: town in Scotland
Leeming: village in North Yorkshire
Heathrow: hamlet in Greater London
Hurn: village in Dorest (South West England)
Camborne: town in Cornwall (South West England)
Beijing: capital city of China
Perth: capital city of Western Australia
Jacksonville: city in Florida
Units/time of measurement of daily mean temp?
Celsius
0900-0900
Units/time of measurement of daily total rainfall ?
Millimetres - 1dp
0900-0900
‘Tr’ is amount less than 0.05mm
Units/time of measurement of daily total sunshine?
Hours - 1dp
From midnight
Units/time of measurement of daily max relative humidity?
%
Reading above 95% = mist/fog
Units/time of measurement of daily mean wind speed and direction?
Knots (1Kn = 1.15mph) - nearest integer
Can be described using Beaufort conversion - qualitative
Direction measured in degrees - rounded to nearest 10
Averaged for 24 hrs from 0000
Units of daily max gust and direction? What is it?
Knots
- max instantaneous speed over 24 hrs
Units/time of measurement of cloud cover?
Measured in Oktas - eighths of the sky covered
- discrete qualitative data
Units/time of measurement of daily mean visibility?
Decametres (1Dm = 10m )
Units/time of measurement of daily mean pressure?
Hectopascals (1hPa = 100 Pa = 1 millibar)
What do international cities have data for?
Daily mean temperature
daily total rainfall
daily mean pressure
daily mean windspeed
What data is missing for the UK?
The total daily total sunshine, mean windspeed and maximum gust is unknown for the first half of May 1987 for the UK cities
What locations are on coast ?
Jacksonville
Perth - southern hemisphere so have winter when its our summer
Camborne
Hurn
Leuchars
When did great storm happen and what is impact of this?
15-16 Oct 1987
- south east England affected - skew some variables (wind, gust, rainfall) not sunshine/cloud cover
What is a census? AD/DIS
Observe and measures every member of population
AD: gets accurate results
DIS : time consuming/expensive
Hard to process large amount of data