Fixing links

docs/src/index.md

@@ -4,7 +4,7 @@ CurrentModule = NighttimeLights
 
 # NighttimeLights
 
-Documentation for [NighttimeLights](https://github.com/JuliaPlanet/NighttimeLights.jl).
+Documentation for [NighttimeLights](https://github.com/xKDR/NighttimeLights.jl).
 
 National Oceanic and Atmospheric Administration (NOAA) releases nighttime lights images produced using the Visible Infrared Imaging Radiometer Suite (VIIRS) since April 2012. Nighttime lights data had emerged as a useful tool to measure economic activity. Many researchers have established a correlation between prosperity and the brightness of a region. In many situations, nighttime lights generates measures with accuracy, latency and geographical resolution that are superior to conventional methods of measurement, such as GDP.
 
@@ -14,14 +14,12 @@ While there are packages to do image processing in Julia, the assumptions about
 
 ![india lights](eog.png)
 
-This package was a foundation for a research paper, "But clouds got in my way: bias and bias correction of VIIRS nighttime lights data in the presence of clouds" by Ayush Patnaik, Ajay Shah, Anshul Tayal, Susan Thomas. The paper diagnoses a source of bias in the data and responds to this problem with a bias correction scheme. Along with other mainstream methods of data cleaning, this method is also implemented in the package. The details are in the paper which can be accessed from its [landing page](https://xkdr.org/releases/PatnaikShahTayalThomas_2021_PSTT2021_biascorrect_nighttime_lights.html). 
+This package was a foundation for a research paper, "But clouds got in my way: bias and bias correction of VIIRS nighttime lights data in the presence of clouds" by Ayush Patnaik, Ajay Shah, Anshul Tayal, Susan Thomas. The paper diagnoses a source of bias in the data and responds to this problem with a bias correction scheme. Along with other mainstream methods of data cleaning, this method is also implemented in the package. The details are in the paper which can be accessed from its [landing page]([https://xkdr.org/releases/PatnaikShahTayalThomas_2021_biascorrect_nighttime_lights.html](https://xkdr.org/paper/but-clouds-got-in-my-way-bias-and-bias-correction-of-viirs-nighttime-lights-data-in-the-presence-of-clouds)). 
 
 # Installation
 
-This Julia package uses R functions. The package requires a functioning [RCall](https://github.com/JuliaInterop/RCall.jl) with forecast package installed. 
-Once this is done, you can install the Julia package. 
 ```
-pkg> add https://github.com/JuliaPlanet/NighttimeLights.jl
+pkg> add NighttimeLights
 ```
 
 # Downloading data
@@ -42,4 +40,4 @@ If your region of interest is covered in one tile, then you may not need to down
 
 To get enquire about the Julia package, you can join the Julia community on [slack](https://julialang.org/slack/) and post questions on the nighttime-lights channel. You can also email one of the authors of the package, [Ayush Patnaik](mailto:[email protected]). 
 
-For questions regarding nighttime lights data, you can email [Kim Baugh](mailto:[email protected])
+For questions regarding nighttime lights data, you can email [Kim Baugh](mailto:[email protected])