Fixed typo opengeos#90

docs/index.md

@@ -25,7 +25,7 @@
 
 ## Introduction
 
-**Leafmap** is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the [geemap](https://geemap.org) Python package, which was designed specifically to work with [Google Earth Engine](https://earthengine.google.com) (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. Leafmap is built upon several open-source packages, such as [folium](https://github.com/python-visualization/folium) ]and [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) (for creating interactive maps), [WhiteboxTools](https://github.com/jblindsay/whitebox-tools) and [whiteboxgui](https://github.com/giswqs/whiteboxgui) (for analyzing geospatial data), and [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) (for designing interactive graphical user interface [GUI]). Leafmap has a toolset with various interactive tools that allow users to load vector and raster data onto the map without coding. In addition, users can use the powerful analytical backend (i.e., WhiteboxTools) to perform geospatial analysis directly within the leafmap user interface without writing a single line of code. The WhiteboxTools library currently contains **468** tools for advanced geospatial analysis, such as [GIS Analysis](https://jblindsay.github.io/wbt_book/available_tools/gis_analysis.html), [Geomorphometric Analysis](https://jblindsay.github.io/wbt_book/available_tools/geomorphometric_analysis.html), [Hydrological Analysis](https://jblindsay.github.io/wbt_book/available_tools/hydrological_analysis.html), [LiDAR Data Analysis](https://jblindsay.github.io/wbt_book/available_tools/lidar_tools.html), [Mathematical and Statistical Analysis](https://jblindsay.github.io/wbt_book/available_tools/mathand_stats_tools.html), and [Stream Network Analysis](https://jblindsay.github.io/wbt_book/available_tools/stream_network_analysis.html).
+**Leafmap** is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the [geemap](https://geemap.org) Python package, which was designed specifically to work with [Google Earth Engine](https://earthengine.google.com) (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. Leafmap is built upon several open-source packages, such as [folium](https://github.com/python-visualization/folium) and [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) (for creating interactive maps), [WhiteboxTools](https://github.com/jblindsay/whitebox-tools) and [whiteboxgui](https://github.com/giswqs/whiteboxgui) (for analyzing geospatial data), and [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) (for designing interactive graphical user interface [GUI]). Leafmap has a toolset with various interactive tools that allow users to load vector and raster data onto the map without coding. In addition, users can use the powerful analytical backend (i.e., WhiteboxTools) to perform geospatial analysis directly within the leafmap user interface without writing a single line of code. The WhiteboxTools library currently contains **468** tools for advanced geospatial analysis, such as [GIS Analysis](https://jblindsay.github.io/wbt_book/available_tools/gis_analysis.html), [Geomorphometric Analysis](https://jblindsay.github.io/wbt_book/available_tools/geomorphometric_analysis.html), [Hydrological Analysis](https://jblindsay.github.io/wbt_book/available_tools/hydrological_analysis.html), [LiDAR Data Analysis](https://jblindsay.github.io/wbt_book/available_tools/lidar_tools.html), [Mathematical and Statistical Analysis](https://jblindsay.github.io/wbt_book/available_tools/mathand_stats_tools.html), and [Stream Network Analysis](https://jblindsay.github.io/wbt_book/available_tools/stream_network_analysis.html).
 
 ## Statement of Need
 

paper/paper.md

@@ -19,7 +19,7 @@ bibliography: paper.bib
 
 # Summary
 
-**Leafmap** is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the [geemap](https://geemap.org) Python package [@Wu2020], which was designed specifically to work with [Google Earth Engine](https://earthengine.google.com) (GEE) [@Gorelick2017]. However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. Leafmap is built upon several open-source packages, such as [folium](https://github.com/python-visualization/folium) [@Filipe2021]and [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) [@Renou2021] (for creating interactive maps), [WhiteboxTools](https://github.com/jblindsay/whitebox-tools) [@Lindsay2018] and [whiteboxgui](https://github.com/giswqs/whiteboxgui) (for analyzing geospatial data), and [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) [@Grout2021] (for designing interactive graphical user interface [GUI]). Leafmap has a toolset with various interactive tools that allow users to load vector and raster data onto the map without coding. In addition, users can use the powerful analytical backend (i.e., WhiteboxTools) to perform geospatial analysis directly within the leafmap user interface without writing a single line of code. The WhiteboxTools library currently contains **468** tools for advanced geospatial analysis, such as [GIS Analysis](https://jblindsay.github.io/wbt_book/available_tools/gis_analysis.html), [Geomorphometric Analysis](https://jblindsay.github.io/wbt_book/available_tools/geomorphometric_analysis.html), [Hydrological Analysis](https://jblindsay.github.io/wbt_book/available_tools/hydrological_analysis.html), [LiDAR Data Analysis](https://jblindsay.github.io/wbt_book/available_tools/lidar_tools.html), [Mathematical and Statistical Analysis](https://jblindsay.github.io/wbt_book/available_tools/mathand_stats_tools.html), and [Stream Network Analysis](https://jblindsay.github.io/wbt_book/available_tools/stream_network_analysis.html).
+**Leafmap** is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the [geemap](https://geemap.org) Python package [@Wu2020], which was designed specifically to work with [Google Earth Engine](https://earthengine.google.com) (GEE) [@Gorelick2017]. However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It is a free and open-source Python package that enables users to analyze and visualize geospatial data with minimal coding in a Jupyter environment, such as Google Colab, Jupyter Notebook, and JupyterLab. Leafmap is built upon several open-source packages, such as [folium](https://github.com/python-visualization/folium) [@Filipe2021] and [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) [@Renou2021] (for creating interactive maps), [WhiteboxTools](https://github.com/jblindsay/whitebox-tools) [@Lindsay2018] and [whiteboxgui](https://github.com/giswqs/whiteboxgui) (for analyzing geospatial data), and [ipywidgets](https://github.com/jupyter-widgets/ipywidgets) [@Grout2021] (for designing interactive graphical user interface [GUI]). Leafmap has a toolset with various interactive tools that allow users to load vector and raster data onto the map without coding. In addition, users can use the powerful analytical backend (i.e., WhiteboxTools) to perform geospatial analysis directly within the leafmap user interface without writing a single line of code. The WhiteboxTools library currently contains **468** tools for advanced geospatial analysis, such as [GIS Analysis](https://jblindsay.github.io/wbt_book/available_tools/gis_analysis.html), [Geomorphometric Analysis](https://jblindsay.github.io/wbt_book/available_tools/geomorphometric_analysis.html), [Hydrological Analysis](https://jblindsay.github.io/wbt_book/available_tools/hydrological_analysis.html), [LiDAR Data Analysis](https://jblindsay.github.io/wbt_book/available_tools/lidar_tools.html), [Mathematical and Statistical Analysis](https://jblindsay.github.io/wbt_book/available_tools/mathand_stats_tools.html), and [Stream Network Analysis](https://jblindsay.github.io/wbt_book/available_tools/stream_network_analysis.html).
 
 # Statement of Need