Building stock in Kuopio

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Rationale

Data

⇤--#: . Tätä dataa EI kannata pyörittää Excelissä, koska meidän pitää joka tapauksessa pyörittää koko dataa R:ssä. Kaikki Excel-työ siis vain vie aikaa antamatta paljoakaan. Einari neuvoo miten salainen data ladataan, jos bugi saatiin korjattua. Muussa tapauksessa kannattaa työstää muita muuttujia ensin, ja tähän palataan myöhemmin. --Jouni 19:15, 12 March 2013 (EET) (type: truth; paradigms: science: attack)

Floor area is used as the result.

Building stock in Kuopio: Difference between revisions(#,m2,m3)

Obs	Type	Constructed	Number	Result	Volume	Description
1	Detached houses	2000-2010	756	391674	1576434	From building registry
2	Detached houses	1990-1999	291	193550	826089
3	Detached houses	1980-1989	1332	154380	528739
4	Detached houses	1970-1979	1153	348502	1216473
5	Detached houses	1960-1969	714	145932	507722
6	Detached houses	1950-1959	768	210199	696858
7	Detached houses	1940-1949	444	154527	593725
8	Detached houses	1930-1939	231	44028	148826
9	Detached houses	1920-1929	182	41586	133895
10	Detached houses	1910-1919	83	19192	66530
11	Detached houses	1900-1909	364	206789	986741
12	Detached houses	1849-1899	80	72380	242621

Fraction of houses renovated per year(%)

Obs	Type	Constructed	Result	Description
1	Detached houses	2000-2010	0	Assumption
2	Detached houses	1990-1999	0	Assumption
3	Detached houses	1980-1989	0	Assumption
4	Detached houses	1970-1979	3	Assumption
5	Detached houses	1960-1969	3	Assumption
6	Detached houses	1950-1959	3	Assumption
7	Detached houses	1940-1949	3	Assumption
8	Detached houses	1930-1939	?
9	Detached houses	1920-1929	?

Floor area of new houses and additional construction per year(#,m2,m3)

Obs	Type	Year	Number	Result	Volume	Description
1	Detached houses	2012				From city supervision of buildings
2	Row houses	2012				From city supervision of buildings
3	Apartment houses	2012				From city supervision of buildings
4	Shops and commerce buildings	2012				From city supervision of buildings
5	Office buildings	2012				From city supervision of buildings
6	Industrial buildings	2012				From city supervision of buildings
7	Public buildings	2012				From city supervision of buildings
8	Educational buildings	2012				From city supervision of buildings
9	Health and social sector buildings	2012				From city supervision of buildings
10	Sport buildings	2012				From city supervision of buildings
11	Leisure buildings	2012				From city supervision of buildings
12	Other buildings	2012				From city supervision of buildings

----#: . Note that below numbers are very preliminary (esp. electricity)! --Marjo 16:49, 13 March 2013 (EET) (type: truth; paradigms: science: comment)

Baseline unit energy consumption(kWh/m3)

Obs	Type	Year	Heat	Electricity	Description
1	Detached houses	2010	41.51	41.49	From energy company
2	Row houses	2010	52.51	17.00	From energy company
3	Apartment houses	2010	49.75	7.25	From energy company
4	Shops and commerce buildings	2010	47.75	41.30	From energy company
5	Office buildings	2010	40.78	15.33	From energy company
6	Industrial buildings	2010	36.00	38.07	From energy company
7	Public buildings	2010	39.23	26.74	From energy company
8	Educational buildings	2010	44.59	27.31	From energy company
9	Health and social sector buildings	2010	55.52	31.53	From energy company
10	Sports buildings	2010	32.51	?	From energy company
11	Leisure buildings	2010	0?	0.95	From energy company
12	Other buildings	2010	34.53	?	From energy company

Calculations

For testing: the "secret" data is just the same as public; the password is 1234567890123456.

Which data do you want to use?: Public summary data Secret detailed data Password (only needed with secret data): + Show code- Hide code library(OpasnetUtils) library(ggplot2) if(secret) { objects.get("ggRvvj1apaN6tD7F") building.stock <- Ovariable("building.stock", data = objects.decode(etable, key)) } else { building.stock <- Ovariable("building.stock", ddata = "Op_en5932", getddata = FALSE) } building.stock building.stock <- EvalOutput(building.stock, N = 1) oprint(building.stock)

Related files

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