zilli_2020 | R Documentation |
A SpatialPointsDataFrame containing a sample of 225 apartaments with prices and other attributes in 3 different Florianopolis' neighbourhoods.
zilli_2020
A tibble with 53 rows (50 samples and 3 apartments to be appraised) and 7 variables:
VT: price, in brazilian Reais
VU: price per sq. meter
AP: Private Area, in squared meters
DPXV: Distance to Praça XV
DSBM: Distance to Beira Mar Mall
DSIG: Distance to Iguatemi Mall
DCTC: Distance to CTC/UFSC
DABM: Distance to Beira Mar Avenue
ND: Number of rooms
NB: Number of bathrooms
NS: Number of ensuites
NG: Number of garages
MO: Furnishes - N (none), SM (some), MO (full)
PSN: Swimming pool?
CH: Barbecue grill?
PC: Building Standard - B, M, A (i.e. low, normal, high)
BRO: Neighborhood
ZILLI, Carlos Augusto. Regressão geograficamente ponderada aplicada na avaliação em massa de imóveis urbanos.. 2020. Dissertação de Mestrado em Engenharia de Transportes e Gestão Territorial. Centro Tecnológico da UFSC. Florianópolis/SC.
data(zilli_2020)
zilli_2020$PC <- as.numeric(zilli_2020$PC)
fit <- lm(log(VU) ~ log(AP) + log(DABM) + ND + NB + NG + PSN + PC,
data = zilli_2020[1:190, ], subset = -c(86, 115))
summary(fit)
fefit <- lm(log(VU) ~ log(AP) + log(DABM) + ND + NB + NG + PSN + PC + BRO,
data = zilli_2020[1:190, ], subset = -c(86, 115))
summary(fefit)
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