Fix typos in .ipynb files with codespell

.github/workflows/docs.yml

@@ -17,7 +17,7 @@ jobs:
                   pip install --user --no-cache-dir Cython
                   pip install codespell -r requirements.txt -r requirements_dev.txt
             - name: Discover typos with codespell
-              run: codespell --ignore-words-list="aci,fallow,hist,nd,wqs" --skip="*.bib,*.csv,*.geojson,*.ipynb,*.json,*.kml"
+              run: codespell --skip="*.csv,*.geojson" --ignore-words-list="aci,acount,acounts,fallow,hart,hist,nd,ned,ois,wqs"
             - name: LOAD EE CREDENTIALS
               run: python ./.github/ee_token.py
               env:

docs/notebooks/14_legends.ipynb

@@ -152,7 +152,7 @@
     "There are three ways you can add customized legends for Earth Engine data\n",
     "\n",
     "1. Define legend keys and colors\n",
-    "2. Defind legend dictionary\n",
+    "2. Define legend dictionary\n",
     "3. Convert Earth Engine class table to legend dictionary\n",
     "\n",
     "### Define legend keys and colors"

docs/notebooks/25_load_rasters.ipynb

@@ -22,7 +22,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To follow this tutorial, you need to install the [geemap] and [xarray_leaflet](https://github.com/davidbrochart/xarray_leaflet/tree/master/xarray_leaflet) Python packages. Use the following conda commmands to create a conda env and install packages:\n",
+    "To follow this tutorial, you need to install the [geemap] and [xarray_leaflet](https://github.com/davidbrochart/xarray_leaflet/tree/master/xarray_leaflet) Python packages. Use the following conda commands to create a conda env and install packages:\n",
     "\n",
     "- `conda create -n gee python`\n",
     "- `conda activate gee`\n",

docs/notebooks/41_water_app.ipynb

@@ -26,7 +26,7 @@
     "\n",
     "**Steps to create Landsat timeseries:**\n",
     "\n",
-    "1. Pan and zoom to your area of interest (AOI), and click on the map to select a polygon. Alternatively, you can enable `Use user-drawn AOI` and use the Drawing tools (e.g., rectange) to draw a shape on the map.\n",
+    "1. Pan and zoom to your area of interest (AOI), and click on the map to select a polygon. Alternatively, you can enable `Use user-drawn AOI` and use the Drawing tools (e.g., rectangle) to draw a shape on the map.\n",
     "2. Adjust the parameters (e.g., band combination, threshold, color, download chart data) if needed. \n",
     "3. Click the `Submit` button to create timeseries of Landsat imagery and normalized difference indices.\n",
     "\n",
@@ -164,7 +164,7 @@
     "              'Soil Index (NDSI)',\n",
     "              'Burn Ratio (NBR)',\n",
     "              'Customized']\n",
-    "nd_indices = widgets.Dropdown(options=nd_options, value='Modified Water Index (MNDWI)', description='Normalized Difference Indes:', style=style)\n",
+    "nd_indices = widgets.Dropdown(options=nd_options, value='Modified Water Index (MNDWI)', description='Normalized Difference Index:', style=style)\n",
     "\n",
     "first_band = widgets.Dropdown(\n",
     "    description='1st band:',\n",

docs/notebooks/46_local_rf_training.ipynb

@@ -100,7 +100,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# get the features and labels into seperate variables\n",
+    "# get the features and labels into separate variables\n",
     "X = df[feature_names]\n",
     "y = df[label]"
    ]
@@ -245,7 +245,7 @@
    "source": [
     "Yay!! 🎉 Looks like our example works. Don't party too much because there is a catch...\n",
     "\n",
-    "This workflow has several limitations particularly due to how much data you can pass from the client to the server and how large of a model ee can acutally handle. EE can only handle 40MB of data passed to the server, so if you have a lot of large decision tree strings then this will not work. Also, creating a classifier from strings has limitation (see this ee-forum discussion: https://groups.google.com/g/google-earth-engine-developers/c/lFFU1GBPzi8/m/6MewQk1FBwAJ), this is again limited by string lengths when ee creates a computation graph.\n",
+    "This workflow has several limitations particularly due to how much data you can pass from the client to the server and how large of a model ee can actually handle. EE can only handle 40MB of data passed to the server, so if you have a lot of large decision tree strings then this will not work. Also, creating a classifier from strings has limitation (see this ee-forum discussion: https://groups.google.com/g/google-earth-engine-developers/c/lFFU1GBPzi8/m/6MewQk1FBwAJ), this is again limited by string lengths when ee creates a computation graph.\n",
     "\n",
     "So, you can use this but know you will probably run into errors when training large models."
    ]

docs/notebooks/48_folium_legend.ipynb

@@ -151,7 +151,7 @@
     "There are three ways you can add customized legends for Earth Engine data\n",
     "\n",
     "1. Define legend labels and colors\n",
-    "2. Defind legend dictionary\n",
+    "2. Define legend dictionary\n",
     "3. Convert Earth Engine class table to legend dictionary\n",
     "\n",
     "### Define legend keys and colors"

docs/notebooks/51_cartoee_projections.ipynb

@@ -276,7 +276,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "As you can see from the result there are warping effects on the plotted image. There is really no way of getting aound this (other than requesting a larger extent of data which may not alway be the case). \n",
+    "As you can see from the result there are warping effects on the plotted image. There is really no way of getting aound this (other than requesting a larger extent of data which may not always be the case). \n",
     "\n",
     "So, what we can do is set the extent of the map to a more realistic view after plotting the image as in the following example:"
    ]

docs/notebooks/57_cartoee_blend.ipynb

@@ -90,7 +90,7 @@
     "    \"color\": \"00000088\",\n",
     "    \"width\": 1,\n",
     "    \"fillColor\": \"00000000\"}\n",
-    "Map.addLayer(countries.style(**style), {}, \"Countires\")\n",
+    "Map.addLayer(countries.style(**style), {}, \"Countries\")\n",
     "\n",
     "ndvi = image.visualize(**vis_params)\n",
     "blend = ndvi.blend(countries.style(**style))\n",

docs/notebooks/cartoee_projections.ipynb

@@ -213,7 +213,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "As you can see from the result there are warping effects on the plotted image. There is really no way of getting aound this (other than requesting a larger extent of data which may not alway be the case). \n",
+    "As you can see from the result there are warping effects on the plotted image. There is really no way of getting aound this (other than requesting a larger extent of data which may not always be the case). \n",
     "\n",
     "So, what we can do is set the extent of the map to a more realistic view after plotting the image as in the following example:"
    ]

docs/notebooks/geemap_and_ipyleaflet.ipynb

@@ -262,7 +262,7 @@
        "version_minor": 0
       },
       "text/plain": [
-       "Map(center=[47.5, -101], controls=(WidgetControl(options=['position'], widget=HBox(children=(ToggleButton(valu…"
+       "Map(center=[47.5, -101], controls=(WidgetControl(options=['position'], widget=HBox(children=(ToggleButton(value…"
       ]
      },
      "metadata": {},

docs/notebooks/local_rf_training.ipynb

@@ -89,7 +89,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# get the features and labels into seperate variables\n",
+    "# get the features and labels into separate variables\n",
     "X = df[feature_names]\n",
     "y = df[label]"
    ]
@@ -200,7 +200,7 @@
    "source": [
     "Yay!! 🎉 Looks like our example works. Don't party too much because there is a catch...\n",
     "\n",
-    "This workflow has several limitations particularly due to how much data you can pass from the client to the server and how large of a model ee can acutally handle. EE can only handle 40MB of data passed to the server, so if you have a lot of large decision tree strings then this will not work. Also, creating a classifier from strings has limitation (see this ee-forum discussion: https://groups.google.com/g/google-earth-engine-developers/c/lFFU1GBPzi8/m/6MewQk1FBwAJ), this is again limited by string lengths when ee creates a computation graph.\n",
+    "This workflow has several limitations particularly due to how much data you can pass from the client to the server and how large of a model ee can actually handle. EE can only handle 40MB of data passed to the server, so if you have a lot of large decision tree strings then this will not work. Also, creating a classifier from strings has limitation (see this ee-forum discussion: https://groups.google.com/g/google-earth-engine-developers/c/lFFU1GBPzi8/m/6MewQk1FBwAJ), this is again limited by string lengths when ee creates a computation graph.\n",
     "\n",
     "So, you can use this but know you will probably run into errors when training large models."
    ]

docs/notebooks/oil_palm_and_rubber_plantation.ipynb

@@ -135,13 +135,13 @@
     "legend = widgets.HTML(\n",
     "    value='<img src=\"https://i.imgur.com/Ye2sgan.png\">',\n",
     "    placeholder='Land cover',\n",
-    "    descripition='Land cover'\n",
+    "    description='Land cover'\n",
     ")\n",
     "\n",
     "citation = widgets.HTML(\n",
     "    value='Reference: <a href=\"https://go.nature.com/2QBIrYe\">https://go.nature.com/2QBIrYe</a>',\n",
     "    placeholder='Land cover',\n",
-    "    descripition='Land cover'\n",
+    "    description='Land cover'\n",
     ")\n",
     "\n",
     "dropdown = widgets.Dropdown(\n",

docs/notebooks/select_features.ipynb

@@ -32,7 +32,7 @@
    },
    "source": [
     "<h1>Contents<span class=\"tocSkip\"></span></h1>\n",
-    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Install-geemap\" data-toc-modified-id=\"Install-geemap-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Install geemap</a></span></li><li><span><a href=\"#Create-an-interactive-map\" data-toc-modified-id=\"Create-an-interactive-map-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Create an interactive map</a></span></li><li><span><a href=\"#Add-data-to-the-map\" data-toc-modified-id=\"Add-data-to-the-map-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Add data to the map</a></span></li><li><span><a href=\"#TIGER:-US-Census-States\" data-toc-modified-id=\"TIGER:-US-Census-States-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>TIGER: US Census States</a></span><ul class=\"toc-item\"><li><span><a href=\"#Displaying-data\" data-toc-modified-id=\"Displaying-data-4.1\"><span class=\"toc-item-num\">4.1&nbsp;&nbsp;</span>Displaying data</a></span></li><li><span><a href=\"#Dispalying-vector-as-raster\" data-toc-modified-id=\"Dispalying-vector-as-raster-4.2\"><span class=\"toc-item-num\">4.2&nbsp;&nbsp;</span>Dispalying vector as raster</a></span></li><li><span><a href=\"#Select-by-attribute\" data-toc-modified-id=\"Select-by-attribute-4.3\"><span class=\"toc-item-num\">4.3&nbsp;&nbsp;</span>Select by attribute</a></span><ul class=\"toc-item\"><li><span><a href=\"#Select-one-single-state\" data-toc-modified-id=\"Select-one-single-state-4.3.1\"><span class=\"toc-item-num\">4.3.1&nbsp;&nbsp;</span>Select one single state</a></span></li><li><span><a href=\"#Select-multiple-states\" data-toc-modified-id=\"Select-multiple-states-4.3.2\"><span class=\"toc-item-num\">4.3.2&nbsp;&nbsp;</span>Select multiple states</a></span></li><li><span><a href=\"#Printing-all-values-of-a-column\" data-toc-modified-id=\"Printing-all-values-of-a-column-4.3.3\"><span class=\"toc-item-num\">4.3.3&nbsp;&nbsp;</span>Printing all values of a column</a></span></li><li><span><a href=\"#Discriptive-statistics-of-a-column\" data-toc-modified-id=\"Discriptive-statistics-of-a-column-4.3.4\"><span class=\"toc-item-num\">4.3.4&nbsp;&nbsp;</span>Discriptive statistics of a column</a></span></li><li><span><a href=\"#Add-a-new-column-to-the-attribute-table\" data-toc-modified-id=\"Add-a-new-column-to-the-attribute-table-4.3.5\"><span class=\"toc-item-num\">4.3.5&nbsp;&nbsp;</span>Add a new column to the attribute table</a></span></li><li><span><a href=\"#Set-symbology-based-on-column--values\" data-toc-modified-id=\"Set-symbology-based-on-column--values-4.3.6\"><span class=\"toc-item-num\">4.3.6&nbsp;&nbsp;</span>Set symbology based on column  values</a></span></li><li><span><a href=\"#Download-attribute-table-as-a-CSV\" data-toc-modified-id=\"Download-attribute-table-as-a-CSV-4.3.7\"><span class=\"toc-item-num\">4.3.7&nbsp;&nbsp;</span>Download attribute table as a CSV</a></span></li><li><span><a href=\"#Formatting-the-output\" data-toc-modified-id=\"Formatting-the-output-4.3.8\"><span class=\"toc-item-num\">4.3.8&nbsp;&nbsp;</span>Formatting the output</a></span></li><li><span><a href=\"#Download-data-as-shapefile-to-Google-Drive\" data-toc-modified-id=\"Download-data-as-shapefile-to-Google-Drive-4.3.9\"><span class=\"toc-item-num\">4.3.9&nbsp;&nbsp;</span>Download data as shapefile to Google Drive</a></span></li></ul></li></ul></li><li><span><a href=\"#TIGER:-US-Census-Blocks\" data-toc-modified-id=\"TIGER:-US-Census-Blocks-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>TIGER: US Census Blocks</a></span></li><li><span><a href=\"#TIGER:-US-Census-Counties-2018\" data-toc-modified-id=\"TIGER:-US-Census-Counties-2018-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>TIGER: US Census Counties 2018</a></span></li><li><span><a href=\"#TIGER:-US-Census-Tracts\" data-toc-modified-id=\"TIGER:-US-Census-Tracts-7\"><span class=\"toc-item-num\">7&nbsp;&nbsp;</span>TIGER: US Census Tracts</a></span></li><li><span><a href=\"#TIGER:-US-Census-Roads\" data-toc-modified-id=\"TIGER:-US-Census-Roads-8\"><span class=\"toc-item-num\">8&nbsp;&nbsp;</span>TIGER: US Census Roads</a></span></li></ul></div>"
+    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#Install-geemap\" data-toc-modified-id=\"Install-geemap-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>Install geemap</a></span></li><li><span><a href=\"#Create-an-interactive-map\" data-toc-modified-id=\"Create-an-interactive-map-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Create an interactive map</a></span></li><li><span><a href=\"#Add-data-to-the-map\" data-toc-modified-id=\"Add-data-to-the-map-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Add data to the map</a></span></li><li><span><a href=\"#TIGER:-US-Census-States\" data-toc-modified-id=\"TIGER:-US-Census-States-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>TIGER: US Census States</a></span><ul class=\"toc-item\"><li><span><a href=\"#Displaying-data\" data-toc-modified-id=\"Displaying-data-4.1\"><span class=\"toc-item-num\">4.1&nbsp;&nbsp;</span>Displaying data</a></span></li><li><span><a href=\"#Displaying-vector-as-raster\" data-toc-modified-id=\"Displaying-vector-as-raster-4.2\"><span class=\"toc-item-num\">4.2&nbsp;&nbsp;</span>Displaying vector as raster</a></span></li><li><span><a href=\"#Select-by-attribute\" data-toc-modified-id=\"Select-by-attribute-4.3\"><span class=\"toc-item-num\">4.3&nbsp;&nbsp;</span>Select by attribute</a></span><ul class=\"toc-item\"><li><span><a href=\"#Select-one-single-state\" data-toc-modified-id=\"Select-one-single-state-4.3.1\"><span class=\"toc-item-num\">4.3.1&nbsp;&nbsp;</span>Select one single state</a></span></li><li><span><a href=\"#Select-multiple-states\" data-toc-modified-id=\"Select-multiple-states-4.3.2\"><span class=\"toc-item-num\">4.3.2&nbsp;&nbsp;</span>Select multiple states</a></span></li><li><span><a href=\"#Printing-all-values-of-a-column\" data-toc-modified-id=\"Printing-all-values-of-a-column-4.3.3\"><span class=\"toc-item-num\">4.3.3&nbsp;&nbsp;</span>Printing all values of a column</a></span></li><li><span><a href=\"#Discriptive-statistics-of-a-column\" data-toc-modified-id=\"Discriptive-statistics-of-a-column-4.3.4\"><span class=\"toc-item-num\">4.3.4&nbsp;&nbsp;</span>Discriptive statistics of a column</a></span></li><li><span><a href=\"#Add-a-new-column-to-the-attribute-table\" data-toc-modified-id=\"Add-a-new-column-to-the-attribute-table-4.3.5\"><span class=\"toc-item-num\">4.3.5&nbsp;&nbsp;</span>Add a new column to the attribute table</a></span></li><li><span><a href=\"#Set-symbology-based-on-column--values\" data-toc-modified-id=\"Set-symbology-based-on-column--values-4.3.6\"><span class=\"toc-item-num\">4.3.6&nbsp;&nbsp;</span>Set symbology based on column  values</a></span></li><li><span><a href=\"#Download-attribute-table-as-a-CSV\" data-toc-modified-id=\"Download-attribute-table-as-a-CSV-4.3.7\"><span class=\"toc-item-num\">4.3.7&nbsp;&nbsp;</span>Download attribute table as a CSV</a></span></li><li><span><a href=\"#Formatting-the-output\" data-toc-modified-id=\"Formatting-the-output-4.3.8\"><span class=\"toc-item-num\">4.3.8&nbsp;&nbsp;</span>Formatting the output</a></span></li><li><span><a href=\"#Download-data-as-shapefile-to-Google-Drive\" data-toc-modified-id=\"Download-data-as-shapefile-to-Google-Drive-4.3.9\"><span class=\"toc-item-num\">4.3.9&nbsp;&nbsp;</span>Download data as shapefile to Google Drive</a></span></li></ul></li></ul></li><li><span><a href=\"#TIGER:-US-Census-Blocks\" data-toc-modified-id=\"TIGER:-US-Census-Blocks-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>TIGER: US Census Blocks</a></span></li><li><span><a href=\"#TIGER:-US-Census-Counties-2018\" data-toc-modified-id=\"TIGER:-US-Census-Counties-2018-6\"><span class=\"toc-item-num\">6&nbsp;&nbsp;</span>TIGER: US Census Counties 2018</a></span></li><li><span><a href=\"#TIGER:-US-Census-Tracts\" data-toc-modified-id=\"TIGER:-US-Census-Tracts-7\"><span class=\"toc-item-num\">7&nbsp;&nbsp;</span>TIGER: US Census Tracts</a></span></li><li><span><a href=\"#TIGER:-US-Census-Roads\" data-toc-modified-id=\"TIGER:-US-Census-Roads-8\"><span class=\"toc-item-num\">8&nbsp;&nbsp;</span>TIGER: US Census Roads</a></span></li></ul></div>"
    ]
   },
   {
@@ -86,7 +86,7 @@
    "source": [
     "## Add data to the map\n",
     "\n",
-    "If you have shapefiles on your computer, you can load shapefiles onto the map using the following script. Note that this will work with small shapefiles. If you shapefiles have complicated geometries and numerous verticies, they might exceed the direct upload limit. In that case, you will have to ingest shapefiles to your GEE account. See instructions [here](https://developers.google.com/earth-engine/importing).   "
+    "If you have shapefiles on your computer, you can load shapefiles onto the map using the following script. Note that this will work with small shapefiles. If you shapefiles have complicated geometries and numerous vertices, they might exceed the direct upload limit. In that case, you will have to ingest shapefiles to your GEE account. See instructions [here](https://developers.google.com/earth-engine/importing).   "
    ]
   },
   {
@@ -239,7 +239,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Dispalying vector as raster"
+    "### Displaying vector as raster"
    ]
   },
   {
@@ -382,7 +382,7 @@
    "source": [
     "#### Discriptive statistics of a column\n",
     "\n",
-    "For example, we can calcualte the total land area of all states:"
+    "For example, we can calculate the total land area of all states:"
    ]
   },
   {
@@ -531,7 +531,7 @@
     "\n",
     "desc = 'states'\n",
     "\n",
-    "# Set configration parameters for output vector\n",
+    "# Set configuration parameters for output vector\n",
     "task_config = {\n",
     "    'folder': 'gee-data', # output Google Drive folder\n",
     "    'fileFormat': 'SHP',  \n",

docs/notebooks/us_census_data.ipynb

@@ -96,7 +96,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Dispalying vector as raster"
+    "### Displaying vector as raster"
    ]
   },
   {
@@ -239,7 +239,7 @@
    "source": [
     "#### Discriptive statistics of a column\n",
     "\n",
-    "For example, we can calcualte the total land area of all states:"
+    "For example, we can calculate the total land area of all states:"
    ]
   },
   {
@@ -388,7 +388,7 @@
     "\n",
     "desc = 'states'\n",
     "\n",
-    "# Set configration parameters for output vector\n",
+    "# Set configuration parameters for output vector\n",
     "task_config = {\n",
     "    'folder': 'gee-data', # output Google Drive folder\n",
     "    'fileFormat': 'SHP',  \n",