immob


This data frame contains price indices of real estate from biggest cities in France in 2008.


datasets

GeoXp is a tool for researchers in spatial statistics,
spatial econometrics, geography, ecology etc allowing to link
dynamically statistical plots with elementary maps. This
coupling consists in the fact that the selection of a zone on
the map results in the automatic highlighting of the
corresponding points on the statistical graph or reversely the
selection of a portion of the graph results in the automatic
highlighting of the corresponding points on the map. GeoXp
includes tools from different areas of spatial statistics
including geostatistics as well as spatial econometrics and
point processes. Besides elementary plots like boxplots,
histograms or simple scatterplot, GeoXp also couples with maps
Moran scatterplots, variogram cloud, Lorentz Curves,...In order
to make the most of the multidimensionality of the data, GeoXp
includes some dimension reduction techniques such as PCA.

Thibault Laurent

GeoXp

Interactive exploratory spatial data analysis

immob function

A data frame with 94 observations on the following 10 variables.
  <dl>
    <dt><code>Nom</code></dt><dd>Name of the city</dd> <dt><code>Code.INSEE</code></dt><dd>Code Insee of the city</dd> <dt><code>Code.region</code></dt><dd>Code of the 'region' area of the city</dd> <dt><code>longitude</code></dt><dd>A vector x of size n</dd> <dt><code>latitude</code></dt><dd>A vector y of size n</dd> <dt><code>prix.vente</code></dt><dd>Average selling price at square metres</dd> <dt><code>variation.vente</code></dt><dd>Rates of change in the average selling price for a quarter year</dd> <dt><code>prix.location</code></dt><dd> Average price of rental square metres </dd> <dt><code>variation.location</code></dt><dd>Rates of change in the average price of rent for a quarter</dd> <dt><code>rentabilite</code></dt><dd>Rentability</dd> </dl> 

immob: Some price indices of real estate from biggest cities in France

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