zilli_2020: Prices of 225 Florianopolis' apartaments in 3 neighborhoods

zilli_2020R Documentation

Prices of 225 Florianopolis' apartaments in 3 neighborhoods

Description

A SpatialPointsDataFrame containing a sample of 225 apartaments with prices and other attributes in 3 different Florianopolis' neighbourhoods.

Usage

zilli_2020

Format

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

Source

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.

Examples

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)


lfpdroubi/appraiseR documentation built on April 14, 2024, 10:27 p.m.