Science Score: 75.0%
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✓DOI references
Found 4 DOI reference(s) in README -
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Links to: arxiv.org -
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Organization riatelab has institutional domain (riate.cnrs.fr) -
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○Scientific vocabulary similarity
Low similarity (13.5%) to scientific vocabulary
Keywords
map
r
spatial
Last synced: 4 months ago
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Repository
Transform base maps using log-azimuthal projection
Statistics
- Stars: 17
- Watchers: 4
- Forks: 1
- Open Issues: 0
- Releases: 1
Topics
map
r
spatial
Created about 5 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
Changelog
Citation
Codemeta
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# fisheye

[](https://app.codecov.io/gh/riatelab/fisheye?branch=main)
[](https://github.com/riatelab/fisheye/actions/workflows/R-CMD-check.yaml)
The goal of fisheye is to create base maps focusing on a specific location using an azimuthal logarithmic distance transformation.
John Bachmann, [New York and environs](https://digitalcollections.nypl.org/items/510d47e3-b9bd-a3d9-e040-e00a18064a99), 1859.
## Installation
You can install the released version of `fisheye` from
[CRAN](https://cran.r-project.org/package=fisheye) with:
``` r
install.packages("fisheye")
```
Alternatively, you can install the development version of `fisheye` from
GitHub with:
``` r
remotes::install_github("riatelab/fisheye")
```
## Example
This is a basic example:
```{r example, fig.width=10, fig.height = 3, out.width="100%"}
library(sf)
library(fisheye)
library(mapsf)
# Import dataset
ncraw <- st_read(system.file("shape/nc.shp", package="sf"), quiet = TRUE)
nc <- st_transform(ncraw, 3857)
par(mfrow = c(1,2))
mf_map(nc, col ="grey90")
mf_map(nc[51, ], add = TRUE, col = "grey40")
mf_title("Original Map")
# transform the basemap
nc_fe <- fisheye(nc, centre = nc[51, ])
mf_map(nc_fe, col ="grey90")
mf_map(nc_fe[51, ], add = TRUE, col = "grey40")
mf_title("Log-Azimuthal Projection")
```
```{r example2,fig.width=10, fig.height = 3, out.width="100%", echo=FALSE }
# data import
par(mfrow = c(1,2))
mf_theme(mar = c(0.5,0.5,0.5,0.5))
center <- st_centroid(st_geometry(nc[51, ]))
buf_size <- c(
seq(100,1000, 100),
seq(1000,10000,1000),
seq(10000, 100000, 10000)
)
lb <- vector("list", length(buf_size))
for (i in seq_along(lb)){
lb[[i]] <- st_buffer(center, buf_size[i])
}
buf <- st_sf(geom = do.call(c, lb))
mf_init(nc)
mf_map(nc, col ="grey90", border = "white", add = TRUE)
mf_map(buf, add = TRUE, border = "red", col = NA, lwd = .4, lty = 3)
mf_map(buf[c(10,20,30), ], add = TRUE, border = "red", col = NA,
lwd = 1, lty = 1)
mf_map(center, pch = 20, add = TRUE)
for (i in c(20, 30)){
text(x = st_coordinates(center)[1,1],
y = st_bbox(buf[i, ])[4],
labels = paste0(round(buf_size[i]/1000, 0), "km")
)
}
buffe <- fisheye(buf, centre = center, method = "log", k = 1)
ncfe <- fisheye(nc, centre = center, method = "log", k = 1)
mf_init(buffe)
mf_map(ncfe, add = TRUE)
mf_map(buffe, add = TRUE, border = "red", col = NA, lwd = .4, lty = 3)
mf_map(buffe[c(1,10,20,30), ], add = TRUE, border = "red", col = NA,
lwd = 1, lty = 1)
points(0,0,pch = 20)
for (i in c(1,10,20,30)){
text(x = 0,
y = st_bbox(buffe[i, ])[4],
labels = paste0(signif(buf_size[i]/1000, 0), "km")
)
}
```
See a more detailed example [here](https://github.com/rcarto/fisheye-example/):

## References
* Hägerstrand, T. (1957). Migration and Area: A Survey of a Sample of Swedish Migration Fields and Hypothetical Considerations of their Genesis. Lund Studies in Geography, Series B, Human Geography, Department of Geography, University of Lund, Lund.
* Snyder, J.P. (1987). "Magnifying-Glass" Azimuthal Map Projections. The American Cartographer, 14:1, 61-68, https://doi.org/10.1559/152304087783875318
* Fairbairn, D., & Taylor, G. (1995). Developing a variable-scale map projection for urban areas. Computers & Geosciences, 21:9, 1053-1064, https://doi.org/10.1016/0098-3004(95)00041-6
* Boutoura, C., Tsioukas, V., & Tsorlini, A. (2012). Experimenting “fisheye-lens functions” in studying digitally particular historic maps. e-Perimetron (ISSN 1790 - 3769). 7. 111-123. http://www.e-perimetron.org/Vol_7_3/Boutoura_et_al.pdf
* Roughan, M. (2017). Log-azimuthal maps. https://roughan.info/math/log-az/
* Rivière, P. (2018). The Log-Azimuthal projection. https://observablehq.com/@fil/log-azimuthal
* Jansen, T. (2018). “Magnifying-Glass” projections. https://observablehq.com/@toja/magnifying-glass-projections
* Sahasrabuddhe, R., Lambiotte, R., & Alessandretti, L. (2021). From centre to centres: polycentric structures in individual mobility. https://arxiv.org/pdf/2108.08113.pdf
Owner
- Name: riatelab
- Login: riatelab
- Kind: organization
- Location: Paris
- Website: https://riate.cnrs.fr
- Repositories: 49
- Profile: https://github.com/riatelab
Spatial analysis and mapping software packages created by the Center for Spatial Analysis and Geovisualization - RIATE
Citation (CITATION.cff)
# -----------------------------------------------------------
# CITATION file created with {cffr} R package, v0.5.0
# See also: https://docs.ropensci.org/cffr/
# -----------------------------------------------------------
cff-version: 1.2.0
message: 'To cite package "fisheye" in publications use:'
type: software
license: GPL-3.0-only
title: 'fisheye: Transform Base Maps Using Log-Azimuthal Projection'
version: 0.2.0
abstract: Base maps are transformed to focus on a specific location using an azimuthal
logarithmic distance transformation.
authors:
- family-names: Giraud
given-names: Timothée
email: timothee.giraud@cnrs.fr
orcid: https://orcid.org/0000-0002-1932-3323
- family-names: Guibard
given-names: Luc
repository: https://CRAN.R-project.org/package=fisheye
repository-code: https://github.com/riatelab/fisheye
url: https://github.com/riatelab/fisheye
contact:
- family-names: Giraud
given-names: Timothée
email: timothee.giraud@cnrs.fr
orcid: https://orcid.org/0000-0002-1932-3323
keywords:
- map
- r
- spatial
references:
- type: software
title: 'R: A Language and Environment for Statistical Computing'
notes: Depends
url: https://www.R-project.org/
authors:
- name: R Core Team
location:
name: Vienna, Austria
year: '2023'
institution:
name: R Foundation for Statistical Computing
version: '>= 3.5.0'
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abstract: 'sf: Simple Features for R'
notes: Imports
url: https://r-spatial.github.io/sf/
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given-names: Edzer
email: edzer.pebesma@uni-muenster.de
orcid: https://orcid.org/0000-0001-8049-7069
year: '2023'
- type: software
title: covr
abstract: 'covr: Test Coverage for Packages'
notes: Suggests
url: https://covr.r-lib.org
repository: https://CRAN.R-project.org/package=covr
authors:
- family-names: Hester
given-names: Jim
email: james.f.hester@gmail.com
year: '2023'
- type: software
title: tinytest
abstract: 'tinytest: Lightweight and Feature Complete Unit Testing Framework'
notes: Suggests
url: https://github.com/markvanderloo/tinytest
repository: https://CRAN.R-project.org/package=tinytest
authors:
- family-names: van der Loo
given-names: Mark
email: mark.vanderloo@gmail.com
orcid: https://orcid.org/0000-0002-9807-4686
year: '2023'
CodeMeta (codemeta.json)
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GitHub Events
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Last Year
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Issues and Pull Requests
Last synced: 4 months ago
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- Total pull request authors: 0
- Average comments per issue: 0
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- Average comments per issue: 0
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- Total packages: 1
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Total downloads:
- cran 247 last-month
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- Total dependent repositories: 0
- Total versions: 2
- Total maintainers: 1
cran.r-project.org: fisheye
Transform Base Maps Using Log-Azimuthal Projection
- Homepage: https://github.com/riatelab/fisheye
- Documentation: http://cran.r-project.org/web/packages/fisheye/fisheye.pdf
- License: GPL-3
-
Latest release: 0.2.0
published about 2 years ago
Rankings
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Average: 49.1%
Downloads: 82.1%
Maintainers (1)
Last synced:
4 months ago
Dependencies
DESCRIPTION
cran
- R >= 3.5.0 depends
- sf * imports
- covr * suggests
- tinytest * suggests
.github/workflows/R-CMD-check.yaml
actions
- actions/checkout v3 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/test-coverage.yaml
actions
- actions/checkout v3 composite
- actions/upload-artifact v3 composite
- r-lib/actions/setup-r v2 composite
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