Buildings in Basel

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Question

What is the building stock in Basel?

Rationale

Detailed data can be found from heande:Buildings in Basel. This data is aggregated to the postal code level. The table uses Swiss Land Survey coordinates CH1903. [1] [2] Use this code in the ova2spat function:

proj4string = "+init=epsg:21781"

You have error(s) in your data:

You must define units. Please use syntax: unit="unit"

Locations of postal codes()

Obs	Postal code	X	Y
1	4001	611296.55	267316.04
2	4051	611004.37	267137.18
3	4052	612735.06	266596.60
4	4053	611695.00	265635.41
5	4054	609694.31	266598.91
6	4055	609798.12	267812.13
7	4056	610271.78	268500.37
8	4057	611580.35	268976.81
9	4058	612781.70	268225.32
10	4059	611615.85	264689.04
11	4125	615721.84	269737.40
12	4126	617160.01	268852.20

Calculations

+ Show code- Hide code conc = iF * emis / pop / BR # HIA = conc * erf * pop * backgroundrisk = emis (g /s) * iF / BR (m3 /s) * erf (m3 /g) * backgroundrisk ### Impact graphs BS <- 18 ggplot(buildings@output) + geom_bar() + theme_gray(base_size = BS) + aes(x = Building, weight = buildingsResult/1000000, fill = Heating) + labs(y = "Floor area (M m2)", title = "Building impacts of renovation policy") + coord_flip() # + facet_grid(. ~ RenovationPolicy) ggplot(heatingEnergy@output) + geom_bar() + theme_gray(base_size = BS) + labs(title = "Energy impacts of renovation policy") + aes(x = Building, weight = heatingEnergyResult/1E+6, fill = Heating) + labs(y = "Heating energy need (GWh /a)") + coord_flip() # + facet_grid(. ~ RenovationPolicy) #emis@output <- emis@output[emis@output$Renovation == "BAU" , ] ggplot(emis@output) + geom_bar() + facet_grid(Pollutant ~ . , scales = "free_y") + theme_gray(base_size = BS) + labs(title = "Emission impacts of biofuel policy") + aes(x = Heating, weight = Result, fill = Fuel) + labs(y = "Emissions to air (ton /a)") + theme(axis.text.x = element_text(angle = 90, hjust = 1)) #ggplot(health@output) + geom_bar() + theme_gray(base_size = BS) + labs(title = "Health impacts of fuel and renovation policy") + #aes(x = Year, weight = Result, fill = Heating) + labs(y = "Premature deaths (# /a)") # + facet_grid(FuelPolicy ~ RenovationPolicy)

See also

Urgenche research project 2011 - 2014: city-level climate change mitigation

Urgenche pages Urgenche main page · Category:Urgenche · Urgenche project page (password-protected) Relevant data Building stock data in Urgenche‎ · Building regulations in Finland · Concentration-response to PM2.5 · Emission factors for burning processes · ERF of indoor dampness on respiratory health effects · ERF of several environmental pollutions · General criteria for land use · Indoor environment quality (IEQ) factors · Intake fractions of PM · Land use in Urgenche · Land use and boundary in Urgenche · Energy use of buildings Relevant methods Building model · Energy balance · Health impact assessment · Opasnet map · Help:Drawing graphs · OpasnetUtils‎ · Recommended R functions‎ · Using summary tables‎ City Kuopio Climate change policies and health in Kuopio (assessment) · Climate change policies in Kuopio (plausible city-level climate policies) · Health impacts of energy consumption in Kuopio · Building stock in Kuopio · Cost curves for energy (prioritization of options) · Energy balance in Kuopio (energy data) · Energy consumption and GHG emissions in Kuopio by sector · Energy consumption classes (categorisation) · Energy consumption of heating of buildings in Kuopio · Energy transformations (energy production and use processes) · Fuels used by Haapaniemi energy plant · Greenhouse gas emissions in Kuopio · Haapaniemi energy plant in Kuopio · Land use in Kuopio · Building data availability in Kuopio · Password-protected pages: File:Heat use in Kuopio.csv · Kuopio housing City Basel Buildings in Basel (password-protected) Energy balances Energy balance in Basel · Energy balance in Kuopio · Energy balance in Stuttgart · Energy balance in Suzhou