RENDISpoint: Soil Defense Public Works for the Basilicata Region.
In PublicWorksFinanceIT: Soil Defense Investments in Italy: Data Retrieval, Analysis, Visualization
RENDISpoint R Documentation
Soil Defense Public Works for the Basilicata Region.
Description
Dataset collecting data about soil defense public works in the Basilicata region retrieved from the ReNDiS repository. Data are georeferenced with point coordinates.
Usage
data("RENDISpoint")
Format
A data frame with 210 observations on the following 27 variables.
CUPa character vector
Interventiona character vector
Typea character vector
Financea numeric vector
DEN_MUNICIPALITYa character vector
DEN_REGIONa character vector
COD_REGIONa character vector
COD_MUNICIPALITYa character vector
COD_PROVINCEa character vector
DEN_PROVINCEa character vector
FeasibilityStudyStartingDatea character vector
FeasibilityStudyEndingDatea character vector
PreliminaryDesignStartingDatea character vector
PreliminaryDesignEndingDatea character vector
DefinitiveDesignStartingDatea character vector
DefinitiveDesignEndingDatea character vector
ExecutiveDesignStartingDatea character vector
ExecutiveDesignEndingDatea character vector
EffectiveDesignStartingDatea character vector
EffectiveDesignEndingDatea character vector
WorksExecutionStartingDatea character vector
WorksExecutionEndingDatea character vector
ConclusionStartingDatea character vector
ConclusionEndingDatea character vector
InterventionCloseda character vector
Operabilitya character vector
geoma character vector
Details
Dataset is obtained using the get_data_RENDIS function.
Source
http://www.rendis.isprambiente.it/rendisweb/
Examples
data(RENDISpoint)
PublicWorksFinanceIT documentation built on April 3, 2025, 6:11 p.m.
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| RENDISpoint | R Documentation |
Soil Defense Public Works for the Basilicata Region.
Description
Dataset collecting data about soil defense public works in the Basilicata region retrieved from the ReNDiS repository. Data are georeferenced with point coordinates.
Usage
data("RENDISpoint")Format
A data frame with 210 observations on the following 27 variables.
CUPa character vector
Interventiona character vector
Typea character vector
Financea numeric vector
DEN_MUNICIPALITYa character vector
DEN_REGIONa character vector
COD_REGIONa character vector
COD_MUNICIPALITYa character vector
COD_PROVINCEa character vector
DEN_PROVINCEa character vector
FeasibilityStudyStartingDatea character vector
FeasibilityStudyEndingDatea character vector
PreliminaryDesignStartingDatea character vector
PreliminaryDesignEndingDatea character vector
DefinitiveDesignStartingDatea character vector
DefinitiveDesignEndingDatea character vector
ExecutiveDesignStartingDatea character vector
ExecutiveDesignEndingDatea character vector
EffectiveDesignStartingDatea character vector
EffectiveDesignEndingDatea character vector
WorksExecutionStartingDatea character vector
WorksExecutionEndingDatea character vector
ConclusionStartingDatea character vector
ConclusionEndingDatea character vector
InterventionCloseda character vector
Operabilitya character vector
geoma character vector
Details
Dataset is obtained using the get_data_RENDIS function.
Source
http://www.rendis.isprambiente.it/rendisweb/
Examples
data(RENDISpoint)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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