Package 'CzechData'

data.frame linking codes of CSU to RUIAN codes

Description

Czech statistical office uses different codes to identify RUIAN elemnts. This dataset should act as converter of codes from data from CSU to link them with spatial data of RUIAN.

Usage

ciselnik_CSU

Format

A data frame with 206 rows and 4 variables:

typ

type of spatail unit

kod_csu

id of spatial unit used by csu

kod_ruian

id of spatial unit used by ruian

Source

https://www.czso.cz/csu/czso/ciselniky

---

Generate attribution for dataset Data50 od Data200

Description

Create citation string as per terms of use (https://geoportal.cuzk.cz/Dokumenty/Podminky_EN.pdf).

Usage

generate_Data200_citation()

generate_Data50_citation()

Value

character with citation.

Functions

• generate_Data200_citation(): Generate citation for Data200 datasource.

• generate_Data50_citation(): Generate citation for Data50 datasource.

Examples

generate_Data50_citation()
generate_Data200_citation()

---

data.frame of all cadastral territories in Czech Republic

Description

A dataset containing the names and other attributes of all 13,078 cadastral territories in Czech Republic. The codes (every column with string kod in name) are treated as character strings even though that some of them are numbers. These codes, however, serve only as IDs. Colums with suffix _kod are various levels of self-government units in Czech Republic.

Usage

katastralni_uzemi

Format

A data frame with 13078 rows and 9 variables:

kod

id of the cadastral territory

nazev

name of the cadastral territory

obec_kod

pou_kod

orp_kod

okres_kod

lau1_kod

vusc_kod

prares_kod

Source

http://services.cuzk.cz/shp/stat/epsg-5514/1.zip

---

data.frame of all regions(NUTS3) in Czech Republic

Description

A dataset containing the names and other attributes of all 14 regions in Czech Republic. The codes (every column with string kod in name) are treated as character strings even though that some of them are numbers. These codes, however, serve only as IDs. Colums with suffix _kod are various levels of self-government units in Czech Republic.

Usage

kraje

Format

A data frame with 14 rows and 4 variables:

kod

id of the region

nazev

name of the region

sou_kod

nuts3_kod

Source

http://services.cuzk.cz/shp/stat/epsg-5514/1.zip

---

Defunct: Load average salary for specific spatial units

Description

Load average salary for specific spatial units for years 2011 to 2017.

Use package czso and specifically function czso::czso_get_table(dataset_id = "110080") to obtain the data and czso::czso_get_table_schema(dataset_id = "110080") to get the columns description.

Usage

load_average_salary()

load_average_salary_col_explanations()

Value

data.frame containg the requested data

Functions

• load_average_salary_col_explanations(): Load description for columns

---

Extract data from Cadastral map

Description

Extract specific layer, in form of spatial data, from cadastral map for given cadastral territory in Czech Republic. Checks are performed to find out if the provided id is valid for some cadastral territory in Czech Republic.

Usage

load_cadastral_territory(id, layer = "katastralni uzemi", WGS84 = FALSE)

Arguments

id	id of cadastral territory as character
layer	identification of data to extract as character, see details. Default value is "katastralni území"
WGS84	convert data to WGS-84 coordinate system? Default FALSE.

Details

The layer can have values from following set, the value in brackets is alias to full layer name:

1. "BODOVE_POLE_B"

2. "BODOVE_POLE_T"

3. "BUDOVY_B" ("budovy body")

4. "BUDOVY_DEF"

5. "BUDOVY_P" ("budovy")

6. "DALSI_PRVKY_MAPY_B"

7. "DALSI_PRVKY_MAPY_L"

8. "DALSI_PRVKY_MAPY_T"

9. "HRANICE_PARCEL_L" ("hranice parcel")

10. "KATASTRALNI_UZEMI_DEF"

11. "KATASTRALNI_UZEMI_L"

12. "KATASTRALNI_UZEMI_P" ("katastralni uzemi")

13. "PARCELY_KN_B"

14. "PARCELY_KN_DEF"

15. "PARCELY_KN_L"

16. "PARCELY_KN_P" ("parcely")

17. "PRVKY_ORIENT_MAPY_B"

18. "PRVKY_ORIENT_MAPY_L"

19. "PRVKY_ORIENT_MAPY_T"

20. "VB_P"

So the codes layer = "BUDOVY_B" and layer = "budovy body" are equal.

The values of id follow general pattern of six number with first number being 6,7 or 9.

Value

data.frame with spatail objects (sf) of the specified layer

Information about dataset

More detailed information about data can be found at the provider's website http://atom.cuzk.cz/.

Examples

## Not run: 
    parcely_vyskov <- load_cadastral_territory("788571", layer = "parcely")

## End(Not run)

---

Load or save from Data200

Description

Load data from Data200 data source (https://geoportal.cuzk.cz/(S(ijginumejzilvacbfijkylwj))/Default.aspx?mode=TextMeta&side=mapy_data200&text=dSady_mapyData200&head_tab=sekce-02-gp&menu=229). The data can be used only after correctly citing the creator (as per terms of use https://geoportal.cuzk.cz/Dokumenty/Podminky_EN.pdf). The citation is in form "Mapový podklad – Data200, insert year © Český úřad zeměměřický a katastrální, www.cuzk.cz".

Usage

load_Data200(layer, WGS84 = FALSE)

save_Data200(path, layer = NULL, type = NULL)

load_Data200_info(english_names = FALSE)

Arguments

layer	identification of data to extract as character, see details.
WGS84	convert data to WGS-84 coordinate system? Default FALSE.
path	character path to store the files to.
type	character type of layers to save. See details, types are listed in brackets.
english_names	change the names of the columns to English. Default FALSE.

Details

The layer can have values from following set, in the bracket is the name of general category (can be used as type in saving the data):

1. "AdministrativniHraniceLinie" ("Hranice")

2. "AdministrativniUzemiCentroid" ("Hranice")

3. "AdministrativniUzemiUTJ" ("Hranice")

4. "AdministrativniUzemiObce" ("Hranice")

5. "AdministrativniUzemiOkresy" ("Hranice")

6. "AdministrativniUzemiKraje" ("Hranice")

7. "HrazJezNad50m" ("Vodstvo")

8. "HrazJezPod50m" ("Vodstvo")

9. "JezeroRybnikVodniNadrz" ("Vodstvo")

10. "VodniTokPod50m" ("Vodstvo")

11. "VodniTokNad50m" ("Vodstvo")

12. "Ostrovy" ("Vodstvo")

13. "MokrinaBazina" ("Vodstvo")

14. "Vodopad" ("Vodstvo")

15. "Prameny1" ("Vodstvo")

16. "Prameny2" ("Vodstvo")

17. "OrografickeNazvy" ("Popis")

18. "GeomorfologickeOblasti" ("Popis")

19. "GeomorfologickeCelky" ("Popis")

20. "GeomorfologickePodcelky" ("Popis")

21. "NarodniParkPrirodniRezervace" ("RuzneObjekty")

22. "Produktovod" ("RuzneObjekty")

23. "Vysilac" ("RuzneObjekty")

24. "VyznamneObjekty" ("RuzneObjekty")

25. "ProduktovodVyznamneBody" ("RuzneObjekty")

26. "Vez" ("RuzneObjekty")

27. "DulLom" ("RuzneObjekty")

28. "Budova" ("RuzneObjekty")

29. "ElektrickeVedeni" ("RuzneObjekty")

30. "Elektrarna" ("RuzneObjekty")

31. "ObceBody" ("Sidla")

32. "ObcePolygony" ("Sidla")

33. "Privoz" ("Doprava")

34. "PrivozStanice" ("Doprava")

35. "ZeleznicniPrejezd" ("Doprava")

36. "Heliport" ("Doprava")

37. "LanovaDraha" ("Doprava")

38. "DalnicniOdpocivka" ("Doprava")

39. "KrizovatkaMimourovnova" ("Doprava")

40. "LetisteNad40Ha" ("Doprava")

41. "LetisteNad40HaBod" ("Doprava")

42. "ZelezniceZastavky" ("Doprava")

43. "LetistePod40Ha" ("Doprava")

44. "LodniPristav" ("Doprava")

45. "PristavaciDraha" ("Doprava")

46. "Zeleznice" ("Doprava")

47. "Silnice" ("Doprava")

48. "LesyPlantaze" ("Vegetace")

49. "KotovaneBody" ("Relief")

50. "Vrstevnice" ("Relief")

51. "SkalniStenaSraz" ("Relief")

52. "Jeskyne" ("Relief")

53. "DMR" ("Relief")

54. "DMRShaded" ("Relief")

Value

"load_Data200" - data.frame with spatial objects (sf) of the specified layer. For layer either "DMR" or "DMRShaded" the output is actually a (raster). "save_Data200" - path to the unzipped files (for layer) or folder (for type), the zipped file is also stored at path (mainly for further use)

Functions

• load_Data200(): Loads single dataset

• save_Data200(): Download and store layer (and zipped general category) or complete category

• load_Data200_info(): Load information about layers in Data200.

Examples

## Not run: 
waterfalls <- load_Data200(layer = "Vodopad")

## End(Not run)
## Not run: 
folder_water_objects <- save_Data200("~/data/water", type = "Vodopad")

## End(Not run)

---

Load or save from Data50

Description

Load data from Data50 data source (https://geoportal.cuzk.cz/(S(xbw0cmgh1cve4bciko2oo4e2))/Default.aspx?lng=EN&mode=TextMeta&side=mapy_data50&text=dSady_mapyData50&head_tab=sekce-02-gp&menu=2290). The data can be used only after correctly citing the creator (as per terms of use https://geoportal.cuzk.cz/Dokumenty/Podminky_EN.pdf). The citation is in form "Mapový podklad – Data50, insert year © Český úřad zeměměřický a katastrální, www.cuzk.cz".

Some basic description of the dataset Data50 or Data200. Most importantly names of layers and sizes of files that need to be downloaded.

Usage

load_Data50(layer, WGS84 = FALSE)

save_Data50(path, layer = NULL, type = NULL)

load_Data50_info(english_names = FALSE)

Arguments

layer	identification of data to extract as character, see details.
WGS84	convert data to WGS-84 coordinate system? Default FALSE.
path	character path to store the files to.
type	character type of layers to save. See details, types are listed in brackets.
english_names	change the names of the columns to English. Default FALSE.

Details

The layer can have values from following set, in the bracket is the name of general category (can be used as type in saving the data):

1. "BlokBudov" ("sidelniKulturniHospodarskeObjekty")

2. "Budova" ("sidelniKulturniHospodarskeObjekty")

3. "Hrad" ("sidelniKulturniHospodarskeObjekty")

4. "Hrbitov" ("sidelniKulturniHospodarskeObjekty")

5. "ChatovaKolonie" ("sidelniKulturniHospodarskeObjekty")

6. "Kostel" ("sidelniKulturniHospodarskeObjekty")

7. "LyzarskyMustek" ("sidelniKulturniHospodarskeObjekty")

8. "RozhlednaVysilac" ("sidelniKulturniHospodarskeObjekty")

9. "Rozvalina" ("sidelniKulturniHospodarskeObjekty")

10. "Stadion" ("sidelniKulturniHospodarskeObjekty")

11. "UsazovaciNadrzOdkaliste" ("sidelniKulturniHospodarskeObjekty")

12. "VetrnyMotor" ("sidelniKulturniHospodarskeObjekty")

13. "VezovitaStavba" ("sidelniKulturniHospodarskeObjekty")

14. "VodojemVezovy" ("sidelniKulturniHospodarskeObjekty")

15. "Zamek" ("sidelniKulturniHospodarskeObjekty")

16. "Zricenina" ("sidelniKulturniHospodarskeObjekty")

17. "Cesta" ("komunikace")

18. "LanovaDraha" ("komunikace")

19. "Lavka" ("komunikace")

20. "Letiste" ("komunikace")

21. "LetisteObvodovaLinie" ("komunikace")

22. "Most" ("komunikace")

23. "Pesina" ("komunikace")

24. "Pristav" ("komunikace")

25. "Privoz" ("komunikace")

26. "SilniceDalnice" ("komunikace")

27. "SilniceVeVystavbe" ("komunikace")

28. "Tunel" ("komunikace")

29. "Ulice" ("komunikace")

30. "ZeleznicniStanice" ("komunikace")

31. "ZeleznicniTrat" ("komunikace")

32. "ZeleznicniVlecka" ("komunikace")

33. "ElektrickeVedeni" ("produktovodyElektrickeVedeni")

34. "Produktovod" ("produktovodyElektrickeVedeni")

35. "Akvadukt" ("vodstvo")

36. "Hraz" ("vodstvo")

37. "Jez" ("vodstvo")

38. "Shybka" ("vodstvo")

39. "VodniPlocha" ("vodstvo")

40. "VodniTok" ("vodstvo")

41. "HraniceSpravniJednotkyaKU" ("hraniceUzemnichJednotek")

42. "ChraneneUzemi" ("hraniceUzemnichJednotek")

43. "Les" ("vegetacePovrch")

44. "LoukaPastvina" ("vegetacePovrch")

45. "RaselinisteMocalBazina" ("vegetacePovrch")

46. "ZahradaSadParkViniceChmelnice" ("vegetacePovrch")

47. "Jeskyne" ("terenniRelief")

48. "KotovanyBod" ("terenniRelief")

49. "SkalnatySraz" ("terenniRelief")

50. "Skaly" ("terenniRelief")

51. "TerenniStupen" ("terenniRelief")

52. "TerenniStupenSpadnice" ("terenniRelief")

53. "Vrstevnice" ("terenniRelief")

54. "DefinicniBodCastiObce" ("popis")

55. "DefinicniBodSpravnihoCelku" ("popis")

56. "Jmeno_B" ("popis")

57. "Jmeno_L" ("popis")

58. "Jmeno_P" ("popis")

59. "ObjektRuzny" ("popis")

Value

"load_Data50" - data.frame with spatial objects (sf) of the specified layer. "save_Data50" - path to the unzipped files (for layer) or folder (for type), the zipped file is also stored at path (mainly for further use)

data.frame with description of layers.

Functions

• load_Data50(): Loads single dataset

• save_Data50(): Download and store layer (and zipped general category) or complete category

• load_Data50_info(): Load information about layers in Data50.

Examples

## Not run: 
    rivers <- load_Data50(layer = "VodniTok")

## End(Not run)
## Not run: 
    folder_communications <- save_Data50("~/data/coomunications", type = "komunikace")

## End(Not run)
## Not run: 
    info <- load_Data50_info(english_names = TRUE)
    info <- load_Data200_info(english_names = TRUE)

## End(Not run)

---

Defunct: Load financial indicators for specific spatial units

Description

Load financial indicators for specific spatial units (NUTS2 and NUTS3) for years 1995 to 2018.

Use package czso and specifically function czso::czso_get_table(dataset_id = "050101") to obtain the data and czso::czso_get_table_schema(dataset_id = "050101") to get the columns description.

Usage

load_financial_indicators()

load_financial_indicators_col_explanations()

Value

data.frame containg the requested data

Functions

• load_financial_indicators_col_explanations(): Load description for columns

---

Defunct: Load population by age

Description

Load population by sex and five-year age categories for years 2010 to 2018.

Use package czso and specifically function czso::czso_get_table(dataset_id = "130142") to obtain the data and czso::czso_get_table_schema(dataset_id = "130142") to get the columns description.

Usage

load_population_age(year = NA, area_type = NA)

load_population_age_col_explanations()

Arguments

year	for which the data should be obtained. Default value is NA, which means all the years. Values from range (including both limits) 2010 - 2018 are accepted.
area_type	type of are for which the data should be obtained. Default value is NA, which means all areas. Accepted values are in Description.

Details

The area_type can have values from following set:

1. "okresy"

2. "kraje"

3. "republika"

Value

data.frame containg the requested data

Functions

• load_population_age(): Load the data

• load_population_age_col_explanations(): Load description for columns

Information about dataset

More detailed information about data can be found at the provider's website https://www.czso.cz/csu/czso/obyvatelstvo-k-3112-podle-pohlavi-v-obcich.

---

Defunct: Load populations from settlements

Description

Load population by sex for settlements for each years from 2000 to 2018.

Use package czso and specifically function czso::czso_get_table(dataset_id = "130149") to obtain the data and czso::czso_get_table_schema(dataset_id = "130149") to get the columns description.

Usage

load_population_settlements(year = NA)

load_population_settlements_col_explanations()

Arguments

year	year for which the data should be obtained. Default value is NA, which means all the years. Values from range (including both limits) 2000 - 2018 are accepted.

Value

data.frame containg the requested data

Functions

• load_population_settlements(): Load the data

• load_population_settlements_col_explanations(): Load description for columns

Information about dataset

More detailed information about data can be found at the provider's website https://www.czso.cz/csu/czso/obyvatelstvo-podle-petiletych-vekovych-skupin-a-pohlavi-v-krajich-a-okresech.

---

Extract data from RUIAN

Description

Extract specific layer, in form of spatial data, from RUIAN for given settlement in Czech Republic. Checks are performed to find out if the provided id is valid for some settlement in Czech Republic.

Usage

load_RUIAN_settlement(id, layer = "obec", WGS84 = FALSE)

Arguments

id	id of settlement as character
layer	identification of data to extract as character, see details. Default value is "obec"
WGS84	convert data to WGS-84 coordinate system? Default FALSE.

Details

In case of adress places (using ADRM_B or adresni mista as layer) are checked, the csv file with more attributes is also downloaded and linked to the spatial data layer.

The layer can have values from following set, the value in brackets is alias to full layer name:

1. "ADRM_B" ("adresni mista")

2. "CO_B" ("casti obce")

3. "KATUZE_P" ("katastralni uzemi")

4. "OBEC_P" ("obec")

5. "SO_B" ("stavebni objekty")

6. "UL_L" ("ulice")

7. "VO_P" ("volebni okrsky")

8. "ZSJ_P" ("zakladni sidelni jednotky")

9. "MOMC_P"

10. "MOP_P"

11. "SOP_P"

So the codes layer = "CO_B" and layer = "casti obce" are equal.

The values of id follow general pattern of six number with first number being 5.

Value

data.frame with spatial objects (sf) of the specified layer

Information about dataset

More detailed information about data can be found at the provider's website http://atom.cuzk.cz/.

Examples

## Not run: 
    adresy_vyskov <- load_RUIAN_settlement("592889", layer = "adresni mista")

## End(Not run)

---

Extract data from RUIAN for whole Czech Republic

Description

Extract specific layer, in form of spatial data, from RUIAN for whole Czech Republic. The minor issue with these data is the size, the datasets that needs to be downloaded is roughly 190 MB.

Usage

load_RUIAN_state(layer = "stat", WGS84 = FALSE)

Arguments

layer	identification of data to extract as character, see details. Default value is "stát"
WGS84	convert data to WGS-84 coordinate system? Default FALSE.

Details

The layer can have values from following set, the value in brackets is alias to full layer name:

1. "KATUZE_P" ("katastralni uzemi")

2. "OBCE_P" ("obce")

3. "OKRESY_P" ("okresy")

4. "ORP_P" ("orp")

5. "POU_P" ("pou")

6. "PRARES_P"

7. "REGION_P" ("regiony")

8. "STATY_P" ("stat")

9. "STU_P" ("stavebni úrady")

10. "VO_P" ("volebni okrsky")

11. "VUSC_P" ("kraje")

So the codes layer = "OKRESY_P" and layer = "okresy" are equal.

Value

data.frame with spatail objects (sf) of the specified layer

Information about dataset

More detailed information about data can be found at the provider's website http://atom.cuzk.cz/.

Examples

## Not run: 
    obce_CR <- load_RUIAN_state(layer = "obce")

## End(Not run)

---

Deprecated: Get information from Czech census in 2011

Description

Data from Czech census in year 2011 by four main topics. The data are provided at various aggregation levels that can be filtered.

Use package czso and specifically function czso::czso_get_table(dataset_id) to obtain the data and czso::czso_get_table_schema(dataset_id) to get the columns description. The values for specific datasets of census are "SLDB-VYBER", "sldbdomy", "sldbdomac", "sldbvyjizdka".

Usage

load_SLDB_2011(type = "obyvatelstvo", load_names = TRUE)

load_SLDB_2011_col_explanations(type = "obyvatelstvo")

Arguments

type	type of requested information as character. Default value is "obyvatelstvo". See details for more.
load_names	boolean value if the column names should be loaded from external source. Default TRUE as the column names do no make any sense otherwise.

Details

Types of data that can be downloaded, and used as type parameter in the function call:

1. "obyvatelstvo"

2. "domy-byty"

3. "domacnosti"

4. "vyjizdka"

Value

data.frame containg the requested data

Functions

• load_SLDB_2011(): Load the data

• load_SLDB_2011_col_explanations(): Get names of columns for SLDB of specific type as data.frame

Information about dataset

More detailed information about data can be found at the provider's website https://www.czso.cz/csu/sldb.

Examples

## Not run: 
    sldb <- load_SLDB_2011(type = "obyvatelstvo")

## End(Not run)

---

data.frame of all settlements in Czech Republic

Description

A dataset containing the names and other attributes of all 6,258 settlements (villages and cities) in Czech Republic. The codes (every column with string kod in name) are treated as character strings even though that some of them are numbers. These codes, however, serve only as IDs. Colums with suffix _kod are various levels of self-government units in Czech Republic.

Usage

obce

Format

A data frame with 6258 rows and 7 variables:

kod

id of the settlement

nazev

name of the settlement

pou_kod

orp_kod

okres_kod

lau1_kod

vusc_kod

Source

http://services.cuzk.cz/shp/stat/epsg-5514/1.zip

---

data.frame of all districts (LAU1) in Czech Republic

Description

A dataset containing the names and other attributes of all 77 districts in Czech Republic. The codes (every column with string kod in name) are treated as character strings even though that some of them are numbers. These codes, however, serve only as IDs. Colums with suffix _kod are various levels of self-government units in Czech Republic.

Usage

okresy

Format

A data frame with 77 rows and 5 variables:

kod

id of the district

nazev

name of the district

lau1_kod

vusc_kod

nuts3_kod

Source

http://services.cuzk.cz/shp/stat/epsg-5514/1.zip

---

data.frame of all settlements of type III (orp) in Czech Republic

Description

A dataset containing the names and other attributes of all 206 settlements of type III (orp) in Czech Republic. The codes (every column with string kod in name) are treated as character strings even though that some of them are numbers. These codes, however, serve only as IDs. Colums with suffix _kod are various levels of self-government units in Czech Republic.

Usage

orp

Format

A data frame with 206 rows and 4 variables:

kod

id of the settlements of type III (orp)

nazev

name of the settlements of type III (orp)

vusc_kod

nuts3_kod

Source

http://services.cuzk.cz/shp/stat/epsg-5514/1.zip

---

data.frame of all settlements of type II (pou) in Czech Republic

Description

A dataset containing the names and other attributes of all 393 settlements of type II (pou) in Czech Republic. The codes (every column with string kod in name) are treated as character strings even though that some of them are numbers. These codes, however, serve only as IDs. Colums with suffix _kod are various levels of self-government units in Czech Republic.

Usage

pou

Format

A data frame with 393 rows and 5 variables:

kod

id of the settlements of type II (pou)

nazev

name of the settlements of type II (pou)

orp_kod

vusc_kod

nuts3_kod

Source

http://services.cuzk.cz/shp/stat/epsg-5514/1.zip

---

Set and get cache validity time

Description

Set and get how long the cache is valid and the files are downloaded only once and then returned from the cache.

Usage

set_cache_length(length)

get_cache_length()

Arguments

length

numeric time in seconds how long the cache is valid.

Value

get_cache_length() numeric length of cache validity (default value is 7 days)

Functions

• set_cache_length(): Set cache length

• get_cache_length(): Get cache length

---