Title: | Soil Defense Investments in Italy: Data Retrieval, Analysis, Visualization |
---|---|
Description: | Facilitates the retrieval and analysis of financial data related to public works in Italy, focusing on soil defense investments. It extracts data from 'OpenCoesione', 'OpenBDAP', and the 'ReNDiS' database, eliminating the need for direct access to these platforms. The package boasts a user-friendly design, featuring real time updates and a set of functions tailored for data retrieval and visualization. See the webpages for further information <http://www.rendis.isprambiente.it/rendisweb/>, <https://opencoesione.gov.it/en/>, and <https://bdap-opendata.rgs.mef.gov.it/>. |
Authors: | Lorena Ricciotti [aut, cre] , Alessio Pollice [ths] |
Maintainer: | Lorena Ricciotti <[email protected]> |
License: | GPL (>= 3) |
Version: | 0.3.0 |
Built: | 2024-10-30 09:21:57 UTC |
Source: | CRAN |
get_codes allows to retrieve codes for regions, provinces, and municipality, filtering for the type of codes needed.
get_codes(type)
get_codes(type)
type |
character. The argument can be set to |
a data.frame object
Lorena Ricciotti
data <- get_codes("region")
data <- get_codes("region")
get_data_OBDAP function retrieves data from one or more Italian regions using ISTAT region codes. It allows filtering based on: municipality code, and the project's starting and/or ending dates. Additionally, it provides geospatial references.
get_data_OBDAP( cod_reg, cod_prov = NULL, cod_mun = NULL, start = NULL, end = NULL, geo_ref = NULL, soil_defense = FALSE, verbose = TRUE )
get_data_OBDAP( cod_reg, cod_prov = NULL, cod_mun = NULL, start = NULL, end = NULL, geo_ref = NULL, soil_defense = FALSE, verbose = TRUE )
cod_reg |
character vector. The ISTAT regional code is used to specify one or more regions of interest when retrieving data. (See |
cod_prov |
character vector. The ISTAT province code is used to specify one or more provinces of interest when retrieving data. (See |
cod_mun |
character vector The ISTAT municipal code is used to specify one or more municipalities of interest when retrieving data. (See |
start |
character (format YYYY-mm-dd). Effective starting date of design refers to the specific phase of a public project that marks the beginning of its design process. This date can be of interest for filtering and analyzing relevant data. |
end |
character (format YYYY-mm-dd). Effective ending date of design refers to the specific phase of a public project that marks the conclusion of its design process. This date can be of interest for filtering and analyzing relevant data. |
geo_ref |
character. The georeference data can be specified using the |
soil_defense |
logical. By default set to |
verbose |
Logic value (TRUE or FALSE). Toggle warnings and messages. If 'verbose = TRUE' (default) the function prints on the screen some messages describing the progress of the tasks. If 'verbose = FALSE' any message about the progression is suppressed. |
Object of class data.frame
showing 22 variables.Descriptive Variables:
Local Project Code (character
)
CUP (character
)
Intervention (character
)
Financial Variables:
State Funding (numeric
)
EU Funding (numeric
)
Local Authorities Funding (numeric
)
Private Funding (numeric
)
Other Funding (numeric
)
Geographical References:
DEN_REGION (character
)
DEN_PROVINCE (character
)
DEN_MUNICIPALITY (character
)
COD_REGION (character
)
COD_PROVINCE (character
)
COD_MUNICIPALITY (character
)
geom (character
)
Legislative process main steps:
Executive Design Starting Date (character
)
Executive Design Ending Date (character
)
Works Execution Starting Date (character
)
Works Execution Ending Date (character
)
Conclusion Starting Date (character
)
Conclusion Ending Date (character
)
Operability (character
)
Lorena Ricciotti
data <- get_data_OBDAP("14") # Retrieve data for one region filtering for soil defense interventions.
data <- get_data_OBDAP("14") # Retrieve data for one region filtering for soil defense interventions.
The get_data_region_OC
function retrieves data from one or more Italian regions using associated region codes. It offers filtering options based on project start/end dates, province, and municipality codes. Additionally, it provides geospatial references.
get_data_region_OC( cod_reg, cod_prov = NULL, cod_mun = NULL, start = NULL, end = NULL, geo_ref = NULL, soil_defense = FALSE, verbose = TRUE )
get_data_region_OC( cod_reg, cod_prov = NULL, cod_mun = NULL, start = NULL, end = NULL, geo_ref = NULL, soil_defense = FALSE, verbose = TRUE )
cod_reg |
character. Vector specifying one or more region of interest. To get information about the codes associated to each region use the function |
cod_prov |
character. The ISTAT province code is used to filter data based on one or more specific provinces of interest.(See |
cod_mun |
character. The ISTAT municipality code is used to filter data based on one or more specific provinces of interest.(See |
start |
(format YYYY-mm-dd). Effective starting date of the project. This date can be of interest for filtering and analyzing relevant data. |
end |
(format YYYY-mm-dd). Effective ending date of the project. This date can be of interest for filtering and analyzing relevant data. |
geo_ref |
character, The georeference data can be specified using the |
soil_defense |
Logical. By default set to |
verbose |
Logic value (TRUE or FALSE). Toggle warnings and messages. If 'verbose = TRUE' (default) the function prints on the screen some messages describing the progress of the tasks. If 'verbose = FALSE' any message about the progression is suppressed. |
Object of classe data.frame
showing 42 variables:
Descriptive Variables:
Local Project Code (character
)
CUP (character
)
Intervention (character
)
Financial Variables:
EU Funding (numeric
)
FESR EU Funding (numeric
)
FSE EU Funding (numeric
)
FEASR EU Funding (numeric
)
FEAMP EU Funding (numeric
)
IOG EU Funding (numeric
)
Fondo di Rotazione ITA (numeric
)
FSC ITA Funding (numeric
)
PAC ITA Funding (numeric
)
Completamenti ITA Funding (numeric
)
Other Measures ITA Funding (numeric
)
Region Funding (numeric
)
Province Funding (numeric
)
Municipality Funding (numeric
)
Released Resources (numeric
)
Other Public Funding (numeric
)
Foreign State Funding (numeric
)
Private Funding (numeric
)
Total Public Funding (numeric
)
Total Funding (numeric
)
Geographical References:
DEN_REGION (character
)
DEN_PROVINCE (character
)
DEN_MUNICIPALITY (character
)
COD_REGION (character
)
COD_PROVINCE (character
)
COD_MUNICIPALITY (character
)
geom (character
)
Legislative process main steps:
Feasibility Study Starting Date (character
)
Feasibility Study Ending Date (character
)
Preliminary Design Starting Date (character
)
Preliminary Design Ending Date (character
)
Definitive Design Starting Date (character
)
Definitive Design Ending Date (character
)
Executive Design Starting Date (character
)
Executive Design Ending Date (character
)
Effective Design Starting Date (character
)
Effective Design Ending Date (character
)
Works Execution Starting Date (character
)
Works Execution Ending Date (character
)
Conclusion Starting Date (character
)
Conclusion Ending Date (character
)
Lorena Ricciotti
dati_VDA <- get_data_region_OC("VDA", cod_mun = "007002") # #Retrieving data for the municipality with code 007002 in the Valle d'Aosta region.
dati_VDA <- get_data_region_OC("VDA", cod_mun = "007002") # #Retrieving data for the municipality with code 007002 in the Valle d'Aosta region.
The get_data_RENDIS
function enables the retrieval of data from one or more region or type of intervention using associated codes. It allows filtering based on: municipality code, and the project's starting and/or ending dates. Additionally, it provides geospatial references.
get_data_RENDIS( cod_reg, cod_prov = NULL, cod_mun = NULL, start = NULL, end = NULL, type = NULL, geo_ref = NULL )
get_data_RENDIS( cod_reg, cod_prov = NULL, cod_mun = NULL, start = NULL, end = NULL, type = NULL, geo_ref = NULL )
cod_reg |
character. The ISTAT regional code is used to filter data based on one or more specific regions of interest. (See |
cod_prov |
character. The ISTAT province code is used to specify one or more provinces of interest within the region(s) of interest. (See |
cod_mun |
character. The ISTAT municipality code is used to specify one or more municipalities of interest within the region(s) of interest. (See |
start |
character (format YYYY-mm-dd). Effective starting date of design refers to the specific phase of a public project that marks the beginning of its design process. This date can be of interest for filtering and analyzing relevant data. |
end |
character (format YYYY-mm-dd). Effective ending date of design refers to the specific phase of a public project that marks the conclusion of its design process. This date can be of interest for filtering and analyzing relevant data. |
type |
character. a character string on which type of intervetion data needs to be retrieved. To get information about type see |
geo_ref |
character. The georeference data can be specified using the |
Object of class tbl_df, tbl, data.frame
showing 25 variables.
Descriptive Variables:
CUP (character
)
Intervention (character
)
Type (character
)
Financial Variable:
Finance (numeric
)
Geographical References:
DEN_REGION (character
)
DEN_PROVINCE (character
)
DEN_MUNICIPALITY (character
)
COD_REGION (character
)
COD_PROVINCE (character
)
COD_MUNICIPALITY (character
)
geom (character
)
Legislative process main steps:
Feasibility Study Starting Date (character
)
Feasibility Study Ending Date (character
)
Preliminary Design Starting Date (character
)
Preliminary Design Ending Date (character
)
Definitive Design Starting Date (character
)
Definitive Design Ending Date (character
)
Executive Design Starting Date (character
)
Executive Design Ending Date (character
)
Works Execution Starting Date (character
)
Works Execution Ending Date (character
)
Conclusion Starting Date (character
)
Conclusion Ending Date (character
)
Intervention Closed (character
)
Operability (character
)
Lorena Ricciotti
data_12 <- get_data_RENDIS("12", cod_prov = c("258", "059"), geo_ref = "C") #Data for the Lazio region filtering for Rome and Latina provinces with point georeferences.
data_12 <- get_data_RENDIS("12", cod_prov = c("258", "059"), geo_ref = "C") #Data for the Lazio region filtering for Rome and Latina provinces with point georeferences.
The get_data_theme_OC
function allows users to fetch data from the OpenCoesione database based on specific themes related to projects.
get_data_theme_OC( themes, cod_reg = NULL, cod_prov = NULL, cod_mun = NULL, start = NULL, end = NULL, geo_ref = NULL, soil_defense = FALSE, verbose = TRUE )
get_data_theme_OC( themes, cod_reg = NULL, cod_prov = NULL, cod_mun = NULL, start = NULL, end = NULL, geo_ref = NULL, soil_defense = FALSE, verbose = TRUE )
themes |
character. Vector specifying one or more theme of interest. To get information about the codes associated to each theme use the function |
cod_reg |
character. The ISTAT regional code is used to filter data based on one or more specific regions of interest. (See |
cod_prov |
character. The ISTAT province code is used to filter data based on one or more specific provinces of interest. (See |
cod_mun |
character. The ISTAT municipality code is used to specify one or more municipalities of interest within the region(s) of interest. (See |
start |
character (format YYYY-mm-dd). Effective starting date of the project. This date can be of interest for filtering and analyzing relevant data. |
end |
character (format YYYY-mm-dd). Effective ending date of the project. This date can be of interest for filtering and analyzing relevant data. |
geo_ref |
character. The georeference data can be specified using the |
soil_defense |
Logical, default set to |
verbose |
Logic value (TRUE or FALSE). Toggle warnings and messages. If 'verbose = TRUE' (default) the function prints on the screen some messages describing the progress of the tasks. If 'verbose = FALSE' any message about the progression is suppressed. |
Object of classe data.frame
showing 42 variables:
Descriptive Variables:
Local Project Code (character
)
CUP (character
)
Intervention (character
)
Financial Variable:
EU Funding (numeric
)
FESR EU Funding (numeric
)
FSE EU Funding (numeric
)
FEASR EU Funding (numeric
)
FEAMP EU Funding (numeric
)
IOG EU Funding (numeric
)
Fondo di Rotazione ITA (numeric
)
FSC ITA Funding (numeric
)
PAC ITA Funding (numeric
)
Completamenti ITA Funding (numeric
)
Other Measures ITA Funding (numeric
)
Region Funding (numeric
)
Province Funding (numeric
)
Municipality Funding (numeric
)
Released Resources (logic
)
Other Public Funding (numeric
)
Foreign State Funding (numeric
)
Private Funding (numeric
)
Total Public Funding (numeric
)
Total Funding (numeric
)
Geographical References:
DEN_MUNICIPALITY (character
)
DEN_REGION (character
)
DEN_PROVINCE (character
)
COD_REGION (character
)
COD_PROVINCE (character
)
COD_MUNICIPALITY (character
)
geom (character
)
Legislative process main steps:
Feasibility Study Starting Date (integer
)
Feasibility Study Ending Date (integer
)
Preliminary Design Starting Date (integer
)
Preliminary Design Ending Date (integer
)
Definitive Design Starting Date (integer
)
Definitive Design Ending Date (integer
)
Executive Design Starting Date (integer
)
Executive Design Ending Date (integer
)
Works Execution Starting Date (integer
)
Works Execution Ending Date (integer
)
Conclusion Starting Date (character
)
Conclusion Ending Date (character
)
Lorena Ricciotti
data <- get_data_theme_OC("AMBIENTE", start = "2022-01-01", end = "2022-12-31")
data <- get_data_theme_OC("AMBIENTE", start = "2022-01-01", end = "2022-12-31")
The get_info_OC
function allows to get information regarding the codes to use to retrieve data from the Open Coesione database.
get_info_OC(info)
get_info_OC(info)
info |
character. The argument can be set to |
The information obtained can be used in the functions get_data_OC
or get_theme_OC
Return a vector of characters. Regions:
VDA => Valle d'Aosta
PIE => Piemonte
LOM => Lombardia
TN_BZ => Trentino Alto Adige (Bolzano)
VEN => Veneto
FVG => Friuli di Venezia Giulia
LIG => Liguria
EMR => Emilia Romagna
TOS => Toscana
UMB => Umbria
MAR => Marche
LAZ => Lazio
ABR => Abruzzo
CAM => Campania
MOL => Molise
PUG => Puglia
CAL => Calabria
BAS => Basilicata
SIC => Sicilia
SAR => Sardegna
NAZ => National Level
EST => Estero (Abroad)
Themes:
RICERCA_INNOVAZIONE => Research and Innovation
RETI_SERVIZI_DIGITALI => Digital Services
COMPETITIVITA_IMPRESE => Firms Competition
ENERGIA => Energy
AMBIENTE => Environment
CULTURA_TURISMO => Culture and Tourism
TRASPORTI" => Transports
OCCUPAZIONE => Employment
INCLUSIONE_SOCIALE_SALUTE => Social Inclusion and Health
ISTRUZIONE_FORMAZIONE => Education
CAPACITA_AMMINISTRATIVA => Administrative Capacity
Lorena Ricciotti
get_info_OC("region")
get_info_OC("region")
The get_type_RENDIS
function returns the list of type of interventions for soil defense contained in the ReNDiS database.
get_type_RENDIS()
get_type_RENDIS()
Return an object of class data.frame
Types:
Frana => Landslide
Non definito => Not defined
Alluvione => Flooding
Misto => Mixed
Valanga => Avalanche
Incendio => Wildfire
Costiero => Coastal
Lorena Ricciotti
get_type_RENDIS()
get_type_RENDIS()
Function to merge the three financial datasets from the three different platforms to obtain a complete dataset to have a comprhensive overview of the investements.
merge_data(data_RENDIS, data_OBDAP, data_OC)
merge_data(data_RENDIS, data_OBDAP, data_OC)
data_RENDIS |
Dataset of class 'data.frame'. Specify the dataset obtained from the ReNDiS database by the |
data_OBDAP |
Dataset of class 'data.frame'. Specify the dataset obtained from the OpenBDAP database by the |
data_OC |
Dataset of class 'data.frame'. Specify the dataset obtained from the OpenCoesione database by the |
Object of class data.frame
showing 28 variables:
Descriptive Variables:
CUP (character
)
Intervention (character
)
Source (character
)
Financial Variables:
State Funding (numeric
)
EU Funding (numeric
)
Local Authorities Funding (numeric
)
Private Funding (numeric
)
Other Funding (numeric
)
Finance (numeric
)
Geographical References:
DEN_REGION (character
)
DEN_PROVINCE (character
)
DEN_MUNICIPALITY (character
)
COD_REGION (character
)
COD_PROVINCE (character
)
COD_MUNICIPALITY (character
)
geom (character
)
Legislative process main steps:
Feasibility Study Starting Date (character
)
Feasibility Study Ending Date (character
)
Preliminary Design Starting Date (character
)
Preliminary Design Ending Date (character
)
Definitive Design Starting Date (character
)
Definitive Design Ending Date (character
)
Executive Design Starting Date (character
)
Executive Design Ending Date (character
)
Works Execution Starting Date (character
)
Works Execution Ending Date (character
)
Conclusion Starting Date (character
)
Conclusion Ending Date (character
)
Lorena Ricciotti
data(OCpoint) data(OBDAPpoint) data(RENDISpoint) data_all <- merge_data(RENDISpoint, OBDAPpoint, OCpoint)
data(OCpoint) data(OBDAPpoint) data(RENDISpoint) data_all <- merge_data(RENDISpoint, OBDAPpoint, OCpoint)
Dataset collecting data about soil defense public works in the Molise region retrieved from the Open BDAP repository. Data are georeferenced with point coordinates.
data("OBDAPpoint")
data("OBDAPpoint")
A data frame with 722 observations on the following 22 variables.
LocalProjectCode
a character vector
CUP
a character vector
Intervention
a character vector
EffectiveDesignStartingDate
a character vector
EffectiveDesignEndingDate
a character vector
WorksExecutionStartingDate
a character vector
WorksExecutionEndingDate
a character vector
ConclusionStartingDate
a character vector
ConclusionEndingDate
a character vector
Operability
a character vector
StateFunding
a numeric vector
EuFunding
a numeric vector
LocalAuthoritiesFunding
a numeric vector
PrivateFunding
a numeric vector
OtherFunding
a numeric vector
COD_MUNICIPALITY
a character vector
COD_PROVINCE
a character vector
COD_REGION
a character vector
DEN_MUNICIPALITY
a character vector
DEN_PROVINCE
a character vector
DEN_REGION
a character vector
geom
a character vector
Dataset is obtained using the get_data_OBDAP
function.
https://openbdap.rgs.mef.gov.it/
data(OBDAPpoint)
data(OBDAPpoint)
Dataset collecting data about soil defense public works in the Umbria region retrieved from the Open Coesione repository. Data are georeferenced with point coordinates.
data("OCpoint")
data("OCpoint")
A data frame with 82 observations on the following 44 variables.
LocalProjectCode
a character vector
CUP
a character vector
Intervention
a character vector
COD_REGION
a character vector
DEN_REGION
a character vector
COD_PROVINCE
a character vector
DEN_PROVINCE
a character vector
COD_MUNICIPALITY
a character vector
DEN_MUNICIPALITY
a character vector
EuFunding
a numeric vector
FESR_EuFunding
a numeric vector
FSE_EuFunding
a numeric vector
FEASR_EuFunding
a numeric vector
FEAMP_EuFunding
a numeric vector
IOG_EuFunding
a numeric vector
FondoDiRotazioneITA
a numeric vector
FSC_FundingITA
a numeric vector
PAC_FundingITA
a numeric vector
CompletamentiFunding_ITA
a numeric vector
OtherMeasuresFundingITA
a numeric vector
RegionFunding
a numeric vector
ProvinceFunding
a numeric vector
MunicipalityFunding
a numeric vector
ReleasedResources
a logical vector
OtherPublicFunding
a numeric vector
ForeignStateFunding
a logical vector
PrivateFunding
a numeric vector
TotalPublicFunding
a numeric vector
TotalFunding
a numeric vector
FeasibilityStudyStartingDate
a character vector
FeasibilityStudyEndingDate
a character vector
PreliminaryDesignStartingDate
a character vector
PreliminaryDesignEndingDate
a character vector
DefinitiveDesignStartingDate
a character vector
DefinitiveDesignEndingDate
a character vector
ExecutiveDesignStartingDate
a character vector
ExecutiveDesignEndingDate
a character vector
EffectiveDesignStartingDate
a character vector
EffectiveDesignEndingDate
a character vector
WorksExecutionStartingDate
a character vector
WorksExecutionEndingDate
a character vector
ConclusionStartingDate
a character vector
ConclusionEndingDate
a character vector
geom
a character vector
Dataset is obtained using the get_data_region_OC
function.
https://opencoesione.gov.it/it/
data(OCpoint)
data(OCpoint)
The plot_funds_bar
function creates a barplot to visually represent the distribution of financial funds allocation across different investment channels.
plot_funds_bar(data, var_col)
plot_funds_bar(data, var_col)
data |
Dataset of class 'data.frame'. Specify the dataset from which to take information. |
var_col |
integer value. Specify the number of the columns associated with the variable to visualize. |
An object of class gg
and ggplot
representing the barplot
Lorena Ricciotti
data(OCpoint) plot_funds_bar(OCpoint, var_col = c(10:15)) #Barplot visualizing the total amount allocated by each fund.
data(OCpoint) plot_funds_bar(OCpoint, var_col = c(10:15)) #Barplot visualizing the total amount allocated by each fund.
The plot_funds_map
function is designed for visualizing areal data within a region. It generates an informative map where each municipality is represented with a unique color determined by its corresponding financing amount.
plot_funds_map(data, var)
plot_funds_map(data, var)
data |
dataset of class 'data.frame'. Specify the dataset from which to take information. The dataset must contain the geometry of the polygons of each municipality. |
var |
character. Specify the name of the variable to visualize. |
Return ggplot
object representing an interactive map.
Lorena Ricciotti
#Retrieve data with the polygons of the municipalities RENDISarea <- get_data_RENDIS("12", geo_ref = "A") plot_funds_map(RENDISarea, var = "Finance") #Plotting the map for Lazio region to visualize the total public #expenditure divided by municipality.
#Retrieve data with the polygons of the municipalities RENDISarea <- get_data_RENDIS("12", geo_ref = "A") plot_funds_map(RENDISarea, var = "Finance") #Plotting the map for Lazio region to visualize the total public #expenditure divided by municipality.
The plot_funds_points
function is designed for visualizing maps of centroids for municipalities using point data. The map colors are determined by the financing amount, and the radius of each point is proportional to the corresponding financing amount.
plot_funds_points(data, var)
plot_funds_points(data, var)
data |
Dataset of class 'data.frame' containing the information about the coordinates of municipalities. Data can be retrieved from all the retrieval functions using the |
var |
character. Specify the variable to visualize. |
Return a leaflet
object representing an interactive map of centroids of muicipalities.
Lorena Ricciotti
data(RENDISpoint) plot_funds_points(RENDISpoint, var = "Finance") #Plotting the points of each municipality of the Basilicata region using the leaflet function.
data(RENDISpoint) plot_funds_points(RENDISpoint, var = "Finance") #Plotting the points of each municipality of the Basilicata region using the leaflet function.
The function allows to visualize spatial proportion of NAs and temporal proportion of NAs.
plot_prop_NA(data, variable, time = FALSE, interactive = FALSE, bar = FALSE, map = FALSE)
plot_prop_NA(data, variable, time = FALSE, interactive = FALSE, bar = FALSE, map = FALSE)
data |
Dataset of class 'data.frame'. Specify the dataset obtained from the retrieving and the |
variable |
character. Specify the name of the variable for which to obtain the NAs proportion. |
time |
Logical. By default set to |
interactive |
Logical. By default set to |
bar |
Logical. By default set to |
map |
Logical. By default set to |
Object of class gg
, ggplot
Lorena Ricciotti
Dataset collecting data about soil defense public works in the Basilicata region retrieved from the ReNDiS repository. Data are georeferenced with point coordinates.
data("RENDISpoint")
data("RENDISpoint")
A data frame with 210 observations on the following 27 variables.
CUP
a character vector
Intervention
a character vector
Type
a character vector
Finance
a numeric vector
DEN_MUNICIPALITY
a character vector
DEN_REGION
a character vector
COD_REGION
a character vector
COD_MUNICIPALITY
a character vector
COD_PROVINCE
a character vector
DEN_PROVINCE
a character vector
FeasibilityStudyStartingDate
a character vector
FeasibilityStudyEndingDate
a character vector
PreliminaryDesignStartingDate
a character vector
PreliminaryDesignEndingDate
a character vector
DefinitiveDesignStartingDate
a character vector
DefinitiveDesignEndingDate
a character vector
ExecutiveDesignStartingDate
a character vector
ExecutiveDesignEndingDate
a character vector
EffectiveDesignStartingDate
a character vector
EffectiveDesignEndingDate
a character vector
WorksExecutionStartingDate
a character vector
WorksExecutionEndingDate
a character vector
ConclusionStartingDate
a character vector
ConclusionEndingDate
a character vector
InterventionClosed
a character vector
Operability
a character vector
geom
a character vector
Dataset is obtained using the get_data_RENDIS
function.
http://www.rendis.isprambiente.it/rendisweb/
data(RENDISpoint)
data(RENDISpoint)
The function allows to obtain summary statistics for financial variables. Mean and standard deviation are computed by default. If requested spatial autocorrelation is computed through the Moran test.
summary_stat( data, corr = FALSE, variable, d1, d2, plot = FALSE)
summary_stat( data, corr = FALSE, variable, d1, d2, plot = FALSE)
data |
Dataset of class 'data.frame'. Specify the dataset obtained from the retrieving and the |
corr |
Logical. By default set to |
variable |
Character. Specify the name of the variable for which to obtain the spatial autocorrelation. |
d1 |
See |
d2 |
See |
plot |
Logical. By default set to |
A list with class list containing the following components:
variable |
the names of the financial variables |
mean |
the value of the mean for each financial variable |
sd |
the value of the standard deviation for each financial variables |
moran.test |
list containing the results of the |
Lorena Ricciotti
Moran, Patrick AP (1950). "A test for the serial independence of residuals." Biometrika, 37(1/2), 178–181. JSTOR.