bump dev version

ipeaGIT · Aug 10, 2022 · fbe6819 · fbe6819
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: accessibility
 Title: Transport Accessibility Measures
-Version: 1.0.09
+Version: 1.0.0.9000
 Authors@R: c(
     person("Rafael H. M.", "Pereira", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0003-2125-7465")),

diff --git a/NEWS.md b/NEWS.md
@@ -1,3 +1,11 @@
+# accessibility (development version)
+
+## New features
+
+## Bug fixes
+
+## Notes
+
 # accessibility 1.0.0
 
 The package has been to tremendous changes. Basically, there's not a single

diff --git a/codemeta.json b/codemeta.json
@@ -7,7 +7,7 @@
   "codeRepository": "https://github.com/ipeaGIT/accessibility",
   "issueTracker": "https://github.com/ipeaGIT/accessibility/issues",
   "license": "https://spdx.org/licenses/MIT",
-  "version": "1.0.0",
+  "version": "1.0.0.9000",
   "programmingLanguage": {
     "@type": "ComputerLanguage",
     "name": "R",
@@ -187,7 +187,7 @@
     },
     "SystemRequirements": null
   },
-  "fileSize": "1893.881KB",
+  "fileSize": "1893.982KB",
   "releaseNotes": "https://github.com/ipeaGIT/accessibility/blob/master/NEWS.md",
   "readme": "https://github.com/ipeaGIT/accessibility/blob/main/README.md",
   "contIntegration": ["https://github.com/ipeaGIT/accessibility/actions", "https://app.codecov.io/gh/ipeaGIT/accessibility?branch=main"],

diff --git a/vignettes/accessibility.Rmd b/vignettes/accessibility.Rmd
@@ -63,7 +63,8 @@ You may have noticed that we've mentioned a few times that the functions
 calculate accessibility using travel *cost*, and not travel *time*. That's
 because we're treating *costs* here in its generic sense: anything that
 increases the impedance from an origin to a destination, such as travel time,
-monetary costs, distances, risk perception, etc., can be considered a generic *cost*.
+monetary costs, distances, risk perception, etc., can be considered a generic
+*cost*.
 
 The `gravity()` and `floating_catchment_area()` functions can use
 different decay functions when estimating accessibility levels. These decay
@@ -198,13 +199,13 @@ to calculate both active and passive accessibility.
 ## Interval-based cumulative opportunities
 
 `cumulative_time_interval()` calculates the interval-based cumulative
-opportunities measure. This measure, developed by @tomasiello2022interval, mitigates the impacts of arbitrary choices of cost
-cutoffs, one of the main disadvantages of the traditional threshold-based
-cumulative opportunities measure. Given a cost interval, it calculates several
-accessibility estimates within the interval and summarizes it using a
-user-specified function. In the example below, we calculate the average number
-of accessible jobs considering multiple minute-by-minute time thresholds
-between 40 and 60 minutes.
+opportunities measure. This measure, developed by @tomasiello2022interval,
+mitigates the impacts of arbitrary choices of cost cutoffs, one of the main
+disadvantages of the traditional threshold-based cumulative opportunities
+measure. Given a cost interval, it calculates several accessibility estimates
+within the interval and summarizes it using a user-specified function. In the
+example below, we calculate the average number of accessible jobs considering
+multiple minute-by-minute time thresholds between 40 and 60 minutes.
 
 ```{r, message = FALSE}
 cum_interval <- cumulative_interval(
@@ -281,8 +282,9 @@ head(bfca)
 
 ## Visualize results
 
-If you have the spatial data of your origins/destinations you can easily merge it with the accessibility to create spatial visualizations of the results.
-The example below quickly shows how to create a simple map using `{ggplot2}`.
+If you have the spatial data of your origins/destinations you can easily merge
+it with the accessibility to create spatial visualizations of the results. The
+example below quickly shows how to create a simple map using `{ggplot2}`.
 
 ```{r, eval = requireNamespace(c("sf", "ggplot2"), quietly = TRUE), out.width = "80%", fig.width = 6, fig.height = 6}
 grid <- system.file("extdata/grid_bho.rds", package = "accessibility")

diff --git a/vignettes/decay_functions.Rmd b/vignettes/decay_functions.Rmd
@@ -21,7 +21,8 @@ continuously discount the weight of opportunities as travel costs become
 larger. For convenience, the package ships with some of the most frequently
 used functions in the accessibility literature, which are discussed below.
 Additionally, users can pass custom functions to convert travel costs into
-weights to be applied the opportunities, which is discussed further down in this the vignette.
+weights to be applied the opportunities, which is discussed further down in
+this the vignette.
 
 # Currently available decay functions
 
@@ -235,6 +236,6 @@ calculates travel costs exactly as we want.
 
 When we create our own custom decay function, we don't have to think about
 general cases, just the cases that matter for us. Creating a simple function
-that converts one vector into another, therefore, suffices our for needs. In both
+that converts one vector into another, therefore, suffices our needs. In both
 examples above, therefore, we're passing a function to `decay_function` - one
 we created ourselves and another created by `decay_power()`.