diff --git a/_preview/1/README.html b/_preview/1/README.html index 436a1de..f667908 100644 --- a/_preview/1/README.html +++ b/_preview/1/README.html @@ -80,7 +80,7 @@ - + @@ -382,6 +382,8 @@
“Great Circle Terminology”: Breakdown of terminology important for working with and understanding great circles including WGS-84
“Coordinate Systems”: Understanding and converted to different types of coordinate systems like Cartesian, Spherical, Polar, and Geodesic (Latitude/Longitude)
“Geodesic and Python”: General overview of powerful open-source Python packages for working with geodesic data like pyproj
and geopy
Each section will make use of plotting to visually demonstrate concepts with matplotlib
and cartopy
- Last updated on 1 October 2024.
+ Last updated on 2 October 2024.
\n", " \n", @@ -110,6 +111,12 @@ "\n", "Cartesian coordinates describe points in space based on perpendicular axis lines that meet at a singlle point of origin, where any point's position is described based on the distance to the origin along xyz axis\n", "\n", + "
\n", + " \n", + "
\n", + "\n", + "Image Source: [Three Dimensional Cartesian Coordiante System](https://en.wikipedia.org/wiki/Cartesian_coordinate_system#description)\n", + "\n", "**Geodesic to Cartesian Coordinates**\n", "\n", "Assuming the earth's radius is 6378137 meters\n", @@ -219,7 +226,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Display Coordinates of Cities" + "### Display Coordinates of Cities\n", + "\n", + "Read in latitude and longitude coordinates from locations" ] }, { @@ -408,7 +417,6 @@ } ], "source": [ - "# Read in location coordinates\n", "import pandas as pd\n", "\n", "location_df = pd.read_csv(\"../location_coords.txt\")\n", @@ -874,7 +882,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### World Map" + "### World Map\n", + "\n", + "Full world map from -180-180 and -90-90:\n", + "```\n", + "longitude east = 180\n", + "\n", + "longitude west = -180\n", + "\n", + "latitude north = 90\n", + "\n", + "latitude south = -90\n", + "```" ] }, { @@ -917,7 +936,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### United States Map" + "### United States Map\n", + "\n", + "Map of the United States roughly from -130 to -60 and 20 to 60:\n", + "```\n", + "longitude east = -60\n", + "\n", + "longitude west = -130\n", + "\n", + "latitude north = 60\n", + "\n", + "latitude south = 20\n", + "```" ] }, { diff --git a/_preview/1/_sources/notebooks/foundations/terminology.ipynb b/_preview/1/_sources/notebooks/foundations/terminology.ipynb index 9d5a100..731b32d 100644 --- a/_preview/1/_sources/notebooks/foundations/terminology.ipynb +++ b/_preview/1/_sources/notebooks/foundations/terminology.ipynb @@ -127,9 +127,14 @@ "\n", "> TODO: https://gis.stackexchange.com/questions/25494/how-accurate-is-approximating-earth-as-sphere\n", "\n", - "To account for the error when assuming the Earth is a sphere, there are various geodetic systems and ellipsoids to include in calculations.\n", - "\n", - "### Geodesic and Python\n", + "To account for the error when assuming the Earth is a sphere, there are various geodetic systems and ellipsoids to include in calculations." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Geodesic and Python\n", "\n", "For the purpose of this notebook we will be taking advantage of two geodesic Python packages:\n", "\n", diff --git a/_preview/1/_sources/notebooks/tutorials/angles.ipynb b/_preview/1/_sources/notebooks/tutorials/angles.ipynb index a6c2a7e..679294c 100644 --- a/_preview/1/_sources/notebooks/tutorials/angles.ipynb +++ b/_preview/1/_sources/notebooks/tutorials/angles.ipynb @@ -4,13 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Let's start here! If you can directly link to an image relevant to your notebook, such as [canonical logos](https://github.com/numpy/numpy/blob/main/doc/source/_static/numpylogo.svg), do so here at the top of your notebook. You can do this with Markdown syntax,\n", - "\n", - "> `![