| Type: | Package | 
| Title: | High Order Spatial Matrix | 
| Version: | 0.1.0 | 
| Author: | Fadhlul Mubarak [aut, cre], Sukru Acitas [aut], Atilla Aslanargun [aut], Ilyas Siklar [aut], Vinny Yuliani Sundara [aut] | 
| Maintainer: | Fadhlul Mubarak <mubarakfadhlul@gmail.com> | 
| Description: | Automatically displays the order and spatial weighting matrix of the distance between locations. This concept was derived from the research of Mubarak, Aslanargun, and Siklar (2021) <doi:10.52403/ijrr.20211150> and Mubarak, Aslanargun, and Siklar (2022) <doi:10.17654/0972361722052>. Distance data between locations can be imported from 'Ms. Excel', 'maps' package or created in 'R' programming directly. This package also provides 5 simulations of distances between locations derived from fictitious data, the 'maps' package, and from research by Mubarak, Aslanargun, and Siklar (2022) <doi:10.29244/ijsa.v6i1p90-100>. | 
| License: | GPL-3 | 
| URL: | https://github.com/mubarakfadhlul/hosm | 
| Encoding: | UTF-8 | 
| LazyData: | true | 
| RoxygenNote: | 7.2.3 | 
| Depends: | R (≥ 2.10) | 
| Imports: | maps, sf, tidyverse, units, tibble, readxl | 
| NeedsCompilation: | no | 
| Packaged: | 2023-07-17 14:39:53 UTC; HP | 
| Repository: | CRAN | 
| Date/Publication: | 2023-07-18 09:20:05 UTC | 
Creates high order spatial matrix of the distance between locations
Description
Creates high order spatial matrix of the distance between locations
Usage
hosm(data)
Arguments
| data | dataframes from distances between locations | 
Value
A list the order and spatial weighting matrix of the distance between locations
References
Mubarak, F., Aslanargun, A., & Sıklar, I. (2022). GSTARIMA Model with Missing Value for Forecasting Gold Price. Indonesian Journal of Statistics and Its Applications, 6(1), 90–100. https://doi.org/10.29244/ijsa.v6i1p90-100
Mubarak, F., Aslanargun, A., & Sıklar, I. (2021). High order spatial weighting matrix using Google Trends. Int J Res Rev, 8(11), 388–396. https://doi.org/10.52403/ijrr.20211150
Mubarak, F., Aslanargun, A., & Sıklar, İ. (2022). Higher-order spatial classification using Google trends data during covid-19. Adv. Appl. Stat., 78, 93–103. https://doi.org/10.17654/0972361722052
Examples
hosm(simulation1)
hosm(simulation2)
hosm(simulation3)
hosm(simulation4)
hosm(simulation5)
Simulation 1 for High Order Spatial Matrix
Description
Simulation 1 for High Order Spatial Matrix
Usage
simulation1
Format
A data frame with 4 locations:
- X
- Name of Location 
- X1
- 1st Location 
- X2
- 2nd Location 
- X3
- 3rd Location 
- X4
- 4th Location 
Examples
data(simulation1)
Simulation 2 for High Order Spatial Matrix
Description
Simulation 2 for High Order Spatial Matrix
Usage
simulation2
Format
A data frame with 5 locations:
- Location
- Name of Location 
- 'Amman (Jordan)
- 'Amman City in Jordan 
- Abu Dhabi (United Arab Emirates)
- Abu Dhabi City in United Arab Emirates 
- Abuja (Nigeria)
- Abuja City in Nigeria 
- Accra (Ghana)
- Accra City in Ghana 
- Adamstown (Pitcairn)
- Adamstown City in Pitcairn 
Examples
data(simulation2)
Simulation 3 for High Order Spatial Matrix
Description
Simulation 3 for High Order Spatial Matrix
Usage
simulation3
Format
A data frame with 5 locations:
- Location
- Name of Location 
- Yaren (Nauru)
- Yaren City in Nauru 
- Yerevan (Armenia)
- Yerevan City in Armenia 
- Zagreb (Croatia)
- Zagreb City in Croatia 
- al-'Ayun (Western Sahara)
- al-'Ayun City in Western Sahara 
- al-Kuwayt (Kuwait)
- al-Kuwayt in (Kuwait) 
Examples
data(simulation3)
Simulation 4 for High Order Spatial Matrix
Description
Simulation 4 for High Order Spatial Matrix
Usage
simulation4
Format
A data frame with 4 locations:
- Location
- Name of Location 
- Ankara (Turkey)
- Ankara City in Turkey 
- Jakarta (Indonesia)
- Jakarta City in Indonesia 
- London (UK)
- London City in UK 
- Washington (USA)
- Washington in USA 
Examples
data(simulation4)
Simulation 5 for High Order Spatial Matrix
Description
Simulation 5 for High Order Spatial Matrix
Usage
simulation5
Format
A data frame with 4 locations:
- Location
- Name of Location 
- Banda Aceh (Indonesia)
- Banda Aceh City in Indonesia 
- Edison (USA)
- Edison City in USA 
- Hakkari (Turkey)
- Hakkari City in Turkey 
- London (UK)
- London City in UK 
Examples
data(simulation5)