Help for package PublicWorksFinanceIT

Title:

Soil Defense Investments in Italy: Data Retrieval, Analysis, Visualization

Version:

0.3.1

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/.

Encoding:

UTF-8

Language:

LazyData:

true

LazyDataCompression:

Imports:

magrittr, dplyr, ggplot2, httr,leaflet,lubridate, rlang, rvest, scales, sf, tibble, tidyr, plotly, spdep, knitr

RoxygenNote:

7.3.0

License:

GPL (≥ 3)

Author:

Lorena Ricciotti

[aut, cre], Alessio Pollice

[ths]

Maintainer:

Lorena Ricciotti <lorena.ricciotti@uniba.it>

NeedsCompilation:

Packaged:

2024-12-12 13:37:33 UTC; lori1

Repository:

CRAN

Date/Publication:

2024-12-12 14:00:12 UTC

Soil Defense Public Work for the Molise.

Description

Dataset collecting data about soil defense public works in the Molise region retrieved from the Open BDAP repository. Data are georeferenced with point coordinates.

Usage

data("OBDAPpoint")

Format

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

Details

Dataset is obtained using the get_data_OBDAP function.

Source

https://openbdap.rgs.mef.gov.it/

Examples

data(OBDAPpoint)

Soil Defense Public works for the Umbria Region

Description

Dataset collecting data about soil defense public works in the Umbria region retrieved from the Open Coesione repository. Data are georeferenced with point coordinates.

Usage

data("OCpoint")

Format

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

Details

Dataset is obtained using the get_data_region_OC function.

Source

https://opencoesione.gov.it/it/

Examples

data(OCpoint)

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.

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

Details

Dataset is obtained using the get_data_RENDIS function.

Source

http://www.rendis.isprambiente.it/rendisweb/

Examples

data(RENDISpoint)

Download ISTAT codes for italian regions, provinces and municipalities.

Description

get_codes allows to retrieve codes for regions, provinces, and municipality, filtering for the type of codes needed.

Usage

get_codes(type)

Arguments

type

character. The argument can be set to region, province, or municipality according to which codes are needed.

Value

a data.frame object

Author(s)

Lorena Ricciotti

Examples

data <- get_codes("region")

Retrieve financial data on public works from the OpenBDAP data base.

Description

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.

Usage

get_data_OBDAP(
  cod_reg,
  cod_prov = NULL,
  cod_mun = NULL,
  start = NULL,
  end = NULL,
  geo_ref = NULL,
  soil_defense = FALSE,
  verbose = TRUE
)

Arguments

cod_reg

character vector. The ISTAT regional code is used to specify one or more regions of interest when retrieving data. (See get_codes function)

cod_prov

character vector. The ISTAT province code is used to specify one or more provinces of interest when retrieving data. (See get_codes function)

cod_mun

character vector The ISTAT municipal code is used to specify one or more municipalities of interest when retrieving data. (See get_codes function)

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 geo_ref argument. If set to A, the function returns shape polygons of each municipality. If set to C, it retrieves the coordinates of the centroids of each municipality.

soil_defense

logical. By default set to FALSE. If only soil defense data are of interest set the argument to TRUE.

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.

Value

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)

Author(s)

Lorena Ricciotti

References

Open BDAP

Examples

data <- get_data_OBDAP("14")
# Retrieve data for one region filtering for soil defense interventions.

Retrieve data from the ReNDiS database on soil defense public works.

Description

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.

Usage

get_data_RENDIS(
  cod_reg,
  cod_prov = NULL,
  cod_mun = NULL,
  start = NULL,
  end = NULL,
  type = NULL,
  geo_ref = NULL
)

Arguments

cod_reg

character. The ISTAT regional code is used to filter data based on one or more specific regions of interest. (See get_codes function)

cod_prov

character. The ISTAT province code is used to specify one or more provinces of interest within the region(s) of interest. (See get_codes function)

cod_mun

character. The ISTAT municipality code is used to specify one or more municipalities of interest within the region(s) of interest. (See get_codes function)

start

end

type

character. a character string on which type of intervetion data needs to be retrieved. To get information about type see get_type_RENDIS function.

geo_ref

Value

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)

Author(s)

Lorena Ricciotti

References

ReNDiS

Examples

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.

Retrieve data from the OpenCoesione data base per region.

Description

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.

Usage

get_data_region_OC(
  cod_reg,
  cod_prov = NULL,
  cod_mun = NULL,
  start = NULL,
  end = NULL,
  geo_ref = NULL,
  soil_defense = FALSE,
  verbose = TRUE
)

Arguments

cod_reg

character. Vector specifying one or more region of interest. To get information about the codes associated to each region use the function get_info_OC

cod_prov

character. The ISTAT province code is used to filter data based on one or more specific provinces of interest.(See get_codes function)

cod_mun

character. The ISTAT municipality code is used to filter data based on one or more specific provinces of interest.(See get_codes function)

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 geo_ref argument. If set to A, the function returns shape polygons of each municipality. If set to C, it retrieves the coordinates of the centroids of each municipality.

soil_defense

Logical. By default set to FALSE. If only soil defense data are of interest set the argument to TRUE.

verbose

Value

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)

Author(s)

Lorena Ricciotti

References

Open Coesione

Examples

 dati_VDA <- get_data_region_OC("VDA", cod_mun = "007002")
 # #Retrieving data for the municipality with code 007002 in the Valle d'Aosta region.

Retrieve Data from OpenCoesione Database by Theme's Project

Description

The get_data_theme_OC function allows users to fetch data from the OpenCoesione database based on specific themes related to projects.

Usage

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
)

Arguments

themes

character. Vector specifying one or more theme of interest. To get information about the codes associated to each theme use the function get_info_OC.

cod_reg

character. The ISTAT regional code is used to filter data based on one or more specific regions of interest. (See get_codes function)

cod_prov

character. The ISTAT province code is used to filter data based on one or more specific provinces of interest. (See get_codes function)

cod_mun

character. The ISTAT municipality code is used to specify one or more municipalities of interest within the region(s) of interest. (See get_codes function)

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

soil_defense

Logical, default set to FALSE. If only soil defense data are of interest set the argument to TRUE.

verbose

Value

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)

Author(s)

Lorena Ricciotti

References

Open Coesione

Examples

data <- get_data_theme_OC("AMBIENTE", start = "2022-01-01", end = "2022-12-31")

Retrieve information about regional and theme codes for the Open Coesione dataset.

Description

The get_info_OC function allows to get information regarding the codes to use to retrieve data from the Open Coesione database.

Usage

get_info_OC(info)

Arguments

info

character. The argument can be set to "region" if the data to be downloaded are based on regional codes, or it can be set to "theme" if the data to be downloaded are based on project's theme.

Details

The information obtained can be used in the functions get_data_OC or get_theme_OC

Value

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

Author(s)

Lorena Ricciotti

References

Open Coesione

Examples

get_info_OC("region")

Retrieve information about soil defense type of the ReNDiS database

Description

The get_type_RENDIS function returns the list of type of interventions for soil defense contained in the ReNDiS database.

Usage

get_type_RENDIS()

Value

Return an object of class data.frame

Types:

Frana => Landslide
Non definito => Not defined
Alluvione => Flooding
Misto => Mixed
Valanga => Avalanche
Incendio => Wildfire
Costiero => Coastal

Author(s)

Lorena Ricciotti

References

ReNDiS

Examples

get_type_RENDIS()

Merging the three financial datasets

Description

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.

Usage

merge_data(data_RENDIS, data_OBDAP, data_OC)

Arguments

data_RENDIS

Dataset of class 'data.frame'. Specify the dataset obtained from the ReNDiS database by the get_data_RENDIS function.

data_OBDAP

Dataset of class 'data.frame'. Specify the dataset obtained from the OpenBDAP database by the get_data_OBDAP function.

data_OC

Dataset of class 'data.frame'. Specify the dataset obtained from the OpenCoesione database by the get_data_region_OC or get_data_theme_OC function.

Value

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)

Author(s)

Lorena Ricciotti

Examples

data(OCpoint)
data(OBDAPpoint)
data(RENDISpoint)
data_all <- merge_data(RENDISpoint, OBDAPpoint, OCpoint)

Repartition of Financial Funds Allocation: Investment Amounts Barplot

Description

The plot_funds_bar function creates a barplot to visually represent the distribution of financial funds allocation across different investment channels.

Usage

plot_funds_bar(data, var_col)

Arguments

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.

Value

An object of class gg and ggplot representing the barplot

Author(s)

Lorena Ricciotti

Examples

data(OCpoint)
plot_funds_bar(OCpoint, var_col = c(10:15))
#Barplot visualizing the total amount allocated by each fund.

Visual representation by mapping municipalities' polygons and color-coding them according to financial expenditures.

Description

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.

Usage

plot_funds_map(data, var)

Arguments

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.

Value

Return ggplot object representing an interactive map.

Author(s)

Lorena Ricciotti

Examples

#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.

Visualization of point data.

Description

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.

Usage

plot_funds_points(data, var)

Arguments

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 geo_ref = "C" argument.

var

character. Specify the variable to visualize.

Value

Return a leaflet object representing an interactive map of centroids of muicipalities.

Author(s)

Lorena Ricciotti

Examples

data(RENDISpoint)
plot_funds_points(RENDISpoint, var = "Finance")
#Plotting the points of each municipality of the Basilicata region using the leaflet function.

Visual representation of NAs proportion over space and time

Description

The function allows to visualize spatial proportion of NAs and temporal proportion of NAs.

Usage

plot_prop_NA(data, variable, time = FALSE, interactive = FALSE, bar = FALSE, map = FALSE)

Arguments

data

Dataset of class 'data.frame'. Specify the dataset obtained from the retrieving and the merge_data functions.

variable

character. Specify the name of the variable for which to obtain the NAs proportion.

time

Logical. By default set to FALSE. If the temporal proportion of NAs is required set the argument to TRUE.

interactive

Logical. By default set to FALSE. If interactive plot set the argument to TRUE.

bar

Logical. By default set to FALSE. If set to TRUE a bar plot will be showed.

map

Logical. By default set to FALSE. If set to TRUE a map will be showed.

Value

Object of class gg, ggplot

Author(s)

Lorena Ricciotti

Returns summary statistics of Financial variables

Description

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.

Usage

summary_stat(
data,
corr = FALSE,
variable,
d1,
d2,
plot = FALSE)

Arguments

data

Dataset of class 'data.frame'. Specify the dataset obtained from the retrieving and the merge_data functions.

corr

Logical. By default set to FALSE. If spatial autocorrelation is of interest set to TRUE. To compute the spatial autocorrelation point geometries are required.

variable

Character. Specify the name of the variable for which to obtain the spatial autocorrelation.

d1

See dnearneigh function for details.

d2

See dnearneigh function for details.

plot

Logical. By default set to FALSE. If Moran plot for spatial autocorrelation is of interest set the argument to TRUE.

Value

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 moran.test function

Author(s)

Lorena Ricciotti

References

Moran, Patrick AP (1950). "A test for the serial independence of residuals." Biometrika, 37(1/2), 178–181. JSTOR.