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[Geospatial Analysis] kicking off a test #442

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[Geospatial Analysis] kicking off a test #442

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[Geospatial Analysis] kicking off a test
alexisbcook Feb 22, 2023
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Update tut1.ipynb
alexisbcook Feb 22, 2023
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14 changes: 7 additions & 7 deletions notebooks/geospatial/raw/tut1.ipynb
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Expand Up @@ -6,7 +6,7 @@
"source": [
"# Introduction\n",
"\n",
"In this micro-course, you'll learn about different methods to wrangle and visualize **geospatial data**, or data with a geographic location.\n",
"In this course, you'll learn about different methods to wrangle and visualize **geospatial data**, or data with a geographic location. \n",
"\n",
"<center>\n",
"<img src=\"https://i.imgur.com/v6ZUGgI.png\"><br/>\n",
Expand All @@ -21,7 +21,7 @@
"\n",
"You'll also visualize crime in the city of Boston, examine health facilities in Ghana, explore top universities in Europe, and track releases of toxic chemicals in the United States.\n",
"\n",
"In this first tutorial, we'll quickly cover the pre-requisites that you'll need to complete this micro-course. And, if you'd like to review more deeply, we recommend the **[Pandas micro-course](https://www.kaggle.com/learn/pandas)**. \n",
"In this first tutorial, we'll quickly cover the pre-requisites that you'll need to complete this course. And, if you'd like to review more deeply, we recommend the **[Pandas course](https://www.kaggle.com/learn/pandas)**. \n",
"\n",
"We'll also get started with visualizing our first geospatial dataset!\n",
"\n",
Expand All @@ -43,7 +43,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"There are many, many different geospatial file formats, such as [shapefile](https://en.wikipedia.org/wiki/Shapefile), [GeoJSON](https://en.wikipedia.org/wiki/GeoJSON), [KML](https://en.wikipedia.org/wiki/Keyhole_Markup_Language), and [GPKG](https://en.wikipedia.org/wiki/GeoPackage). We won't discuss their differences in this micro-course, but it's important to mention that:\n",
"There are many, many different geospatial file formats, such as [shapefile](https://en.wikipedia.org/wiki/Shapefile), [GeoJSON](https://en.wikipedia.org/wiki/GeoJSON), [KML](https://en.wikipedia.org/wiki/Keyhole_Markup_Language), and [GPKG](https://en.wikipedia.org/wiki/GeoPackage). We won't discuss their differences in this course, but it's important to mention that:\n",
"- shapefile is the most common file type that you'll encounter, and \n",
"- all of these file types can be quickly loaded with the `gpd.read_file()` function.\n",
"\n",
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"cell_type": "markdown",
"metadata": {},
"source": [
"For instance, if we don't plan to use all of the columns, we can select a subset of them. (_To review other methods for selecting data, check out [this tutorial](https://www.kaggle.com/residentmario/indexing-selecting-assigning/) from the Pandas micro-course_.)"
"For instance, if we don't plan to use all of the columns, we can select a subset of them. (_To review other methods for selecting data, check out [this tutorial](https://www.kaggle.com/residentmario/indexing-selecting-assigning/) from the Pandas course_.)"
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"We use the `value_counts()` method to see a list of different land types, along with how many times they appear in the dataset. (_To review this (and related methods), check out [this tutorial](https://www.kaggle.com/residentmario/summary-functions-and-maps) from the Pandas micro-course._)"
"We use the `value_counts()` method to see a list of different land types, along with how many times they appear in the dataset. (_To review this (and related methods), check out [this tutorial](https://www.kaggle.com/residentmario/summary-functions-and-maps) from the Pandas course._)"
]
},
{
Expand All @@ -124,7 +124,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"You can also use `loc` (and `iloc`) and `isin` to select subsets of the data. (_To review this, check out [this tutorial](https://www.kaggle.com/residentmario/indexing-selecting-assigning/) from the Pandas micro-course._)"
"You can also use `loc` (and `iloc`) and `isin` to select subsets of the data. (_To review this, check out [this tutorial](https://www.kaggle.com/residentmario/indexing-selecting-assigning/) from the Pandas course._)"
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"If you're not familiar with the commands above, you are encouraged to bookmark this page for reference, so you can look up the commands as needed. (_Alternatively, you can take the [Pandas micro-course](https://www.kaggle.com/learn/pandas)._) We'll use these commands throughout this micro-course to understand and filter data before creating maps.\n",
"If you're not familiar with the commands above, you are encouraged to bookmark this page for reference, so you can look up the commands as needed. (_Alternatively, you can take the [Pandas course](https://www.kaggle.com/learn/pandas)._) We'll use these commands throughout this course to understand and filter data before creating maps.\n",
"\n",
"# Create your first map!\n",
"\n",
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