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5 Cards in this Set

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Planning/ importance

Intro- aim- to investigate whether the college buildings create features of an urban microclimate


Background info - chandler's study of London revealed that the centre of London was up to 6 degrees higher than surrounding rural areas. Building materials high thermal capacity - concrete absorbs suns rays & radiates heat into atmosphere. Important to create hypotheses


H1- Temperature in built up areas will be higher in surrounding rural areas


H2- wind speed lower in urban areas than rural areas


H3- more variable wind speed in urban areas than rural


It is important to research theoretical background as you need to know what factors are going to effect results and so you can make hypotheses



Need to plan where to do the investigation. College- buildings surrounded by rural areas can collect correct results. Risk assessment. 10mph around area. SAFE. Small enough to collect results


Planning ia essential to check if findings are achievable with resources available and to ensure feasibility of the study


Evaluate methods used to collect data

Intro aim: To investigate whether the college buildings create features of an urban microclimate


Systematic sampling - drew grid over map of college - marked a cross every 10 square.


☺ allows the sites to be regularly distributed in a spatial context, therefore covering the whole area. Also, saved time and simple to do


biased as not all of the slots have a equal chance of being selected



H1 - temp annometer


☺ easy and quick to use


collecting each reading at different times will effect results. Fingers obstructing sensor



H2- wind speed - annometer -


☺ easy to use


not sensitive enough to pick up wind speed.



H3- Wind direction bubbles and compass


☺ when wind strong easy to see direction of wind


sometimes not enough wind or aimed up or down - hard to judge direction

Discuss the strengthes and weaknesses of the methods of presenting data used into a changing physical enviornment

Intro- aim- to investigate whether the college buildings create features of an urban microclimate



H1- temp in urban areas is higher than surrounding rural areas- presented using an isotherm map


☺highlights visually the highest and lowest temperatures & easy to interpret general trend of distribution.


not easy to construct and is n element of guess work involving positioning of the circles.



Dispersion graph


☺visually effective as full range of data can be seen together with the patterns and groupings of data.


if alot of data- pattern lost



Scattergraph-compare distance and temp


☺shows correlation between two sets of data, shows spread clearly, with anomalies standing out- then be disgarded-


if two many data points- correlation can be unclear like in mine



H2 & H3- proportional arrows


☺visually effective and can easily compare between sets of data


exact speed is not labelled there are alot of artows with no wind,

Discuss accuracy and reliability

Intro - aim : To investigate whether the college buildings create features of an urban microclimate



H1 - temp higher in urban areas than rural- used an anemometer-accurate in its readings as went to 1 decimal place. -Same person held it so always same distance from ground- accurate results. However- fingers touch sensor- unaccurate results. Done at different tjmes of data, not an accurate representation of the temp at one time.



H2- wind speed lower in built up areas- annometer- not accurate- was not sensitive enough to pick up readings leading to unreliable results.



H3- wind direction is more variable in built up areas. - accurate, always stood in north direction each time. Unreliable- sometimes bubbles aimed upwards/ downwards- hard to judge direction, element of guesswork

How ict may be used

Intro- aim- to investigate whether the college buildings create features of an urban microclimate



Planning - background info theough use of internet- chandlers study of urban heat islands in 1965, in order to create hypotheses


Display- excel- to format cells to do calculations and create tables to manage data. Use to draw grphs quickly & accurately. Minimises humn error, and saves time, but need to know how to use it. Has limited choice of grphs