dlab-berkeley · meiqingli · Oct 24, 2023 · Oct 31, 2023 · Oct 31, 2023 · Oct 31, 2023
diff --git a/README.md b/README.md
@@ -1,109 +1,109 @@
-# D-Lab [WorkshopName] Workshop
-
-[![DataHub](https://img.shields.io/badge/launch-datahub-blue)](DATAHUB_LINK_HERE)
-[![Binder](https://mybinder.org/badge_logo.svg)](BINDER_LINK_HERE)
-[![License: CC BY 4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
-
-This repository contains the materials for D-Lab [WorkshopName] workshop. We
-recommend attending [D-LabWorkshop1](D-LabWorkshop1Link),
-[D-LabWorkshop2](D-LabWorkshop2Link), and
-[AdditionalWorkshopsAsNeeded](LinksToWorkshops) prior to this workshop.
-
-## Workshop Goals
-
-In this workshop, we provide [WorkshopGoal]. First, we’ll cover [Aim1]. Then,
-we’ll explore [Aim2]. 
-
-_Only if necessary:_ If you are not familiar with material in
-[D-LabWorkshop1](D-LabWorkshop1Link), [D-LabWorkshop2](D-LabWorkshop2Link), and
-[AdditionalWorkshopsAsNeeded](LinksToWorkshops), we recommend attending those
-workshops first.
-
-## Learning Objectives
-
-After this workshop, you will be able to:
-
-- [LearningObjective1].
-- [LearningObjective2].
-- [LearningObjective3].
-
-This workshop does not cover the following:
-
-- [NotCovered1]. These are covered in [D-LabWorkshopName](URL).
-- [NotCovered2]. These are covered in [D-LabWorkshopName](URL).
-
-
-## Installation Instructions
-
-We will use [RStudio/Python] to go through the workshop materials, which requires installation of [Software]. Complete the following steps:
-
-1. This step(s) details software to download, with a link.
-2. Download these workshop materials:
-    * Click the green "Code" button in the top right of the repository information.
-    * Click "Download Zip".
-    * Extract this file to a folder on your computer where you can easily access it (we recommend Desktop).
-3. Optional: if you’re familiar with git, you can instead clone this repository by opening a terminal and entering [GitCloneCommand].
-
-## Is [Language] not Working on Your Computer?
-
-If you do not have [Language] installed and the materials loaded on your
-workshop by the time it starts, we *strongly* recommend using the UC Berkeley
-Datahub to run the materials for these lessons. You can access the DataHub by
-clicking the following button:
-
-[![DataHub](https://img.shields.io/badge/launch-datahub-blue)](DATAHUB_LINK_HERE)
-
-The DataHub downloads this repository, along with any necessary packages, and
-allows you to run the materials in an RStudio instance on UC Berkeley's servers.
-No installation is necessary from your end - you only need an internet browser
-and a CalNet ID to log in. By using the DataHub, you can save your work and come
-back to it at any time. When you want to return to your saved work, just go
-straight to the [D-Lab DataHub](https://dlab.datahub.berkeley.edu), sign in, and
-you click on the `[Workshop-Name]` folder.
-
-If you don't have a Berkeley CalNet ID, you can still run these lessons in the cloud, by clicking this button:
-
-[![Binder](https://mybinder.org/badge_logo.svg)](BINDER_LINK_HERE)
-
-By using this button, however, you cannot save your work.
-
-
-## Run the Code
-
-Now that you have all the required software and materials, you need to run the code:
-
-Provide instructions on running the code, including how to load relevant software (RStudio, Jupyter Notebooks, etc.) and which file to open up. See other repositories for examples.
-
-Additionally, provide instructions on how to run code once it’s open (running Jupyter cells, RMarkdown cells, etc.).
-
-# Additional Resources
-
-Check out the following resources to learn more about [Workshop topics]:
-
-* [Resource1](LinkToResource1): _Explain Resource 1_
-* [Resource2](LinkToResource2): _Explain Resource 2_
-* [...]
-
-
-# About the UC Berkeley D-Lab
-
-D-Lab works with Berkeley faculty, research staff, and students to advance data-intensive social science and humanities research. Our goal at D-Lab is to provide practical training, staff support, resources, and space to enable you to use R for your own research applications. Our services cater to all skill levels and no programming, statistical, or computer science backgrounds are necessary. We offer these services in the form of workshops, one-to-one consulting, and working groups that cover a variety of research topics, digital tools, and programming languages.  
-
-Visit the [D-Lab homepage](https://dlab.berkeley.edu/) to learn more about us. You can view our [calendar](https://dlab.berkeley.edu/events/calendar) for upcoming events, learn about how to utilize our [consulting](https://dlab.berkeley.edu/consulting) and [data](https://dlab.berkeley.edu/data) services, and check out upcoming [workshops](https://dlab.berkeley.edu/events/workshops).
-
-# Other D-Lab [Language] Workshops
-
-Here are other [Language] workshops offered by the D-Lab:
-
-## Basic Competency
-
-**Provide a list of workshops here.**
-
-## Intermediate/Advanced Competency
-
-**Provide a list of workshops here.**
-
-# Contributors
-
-**Provide a list of contributors here, with links to their webpages (D-Lab or
-private).**
+# D-Lab Python Geospatial Workshop
+
+[![DataHub](https://img.shields.io/badge/launch-datahub-blue)](https://datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fmeiqingli%2FPython-Geospatial-Fundamentals-Pilot&branch=main&urlpath=tree%2FPython-Geospatial-Fundamentals-Pilot%2F)
+[![License: CC BY 4.0](https://img.shields.io/badge/License-CC_BY_4.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
+
+This repository contains the materials for D-Lab [WorkshopName] workshop. We
+recommend attending [D-LabWorkshop1](D-LabWorkshop1Link),
+[D-LabWorkshop2](D-LabWorkshop2Link), and
+[AdditionalWorkshopsAsNeeded](LinksToWorkshops) prior to this workshop.
+
+## Workshop Goals
+
+In this workshop, we provide [WorkshopGoal]. First, we’ll cover [Aim1]. Then,
+we’ll explore [Aim2]. 
+
+_Only if necessary:_ If you are not familiar with material in
+[D-LabWorkshop1](D-LabWorkshop1Link), [D-LabWorkshop2](D-LabWorkshop2Link), and
+[AdditionalWorkshopsAsNeeded](LinksToWorkshops), we recommend attending those
+workshops first.
+
+## Learning Objectives
+
+After this workshop, you will be able to:
+
+- Recognize different forms of geospatial data and coordinate reference system (CRS).
+- Use `GeoPandas` and `matplotlib` libraries to map and analyze spatial data.
+- Apply more advanced Python libraries for interactive visualization.
+- Choose domain-specific spatial datasets to create your own maps. 
+
+This workshop does not cover the following:
+
+- [NotCovered1]. These are covered in [D-LabWorkshopName](URL).
+- [NotCovered2]. These are covered in [D-LabWorkshopName](URL).
+
+
+## Installation Instructions
+
+We will use Python to go through the workshop materials, which requires installation of [Software]. Complete the following steps:
+
+1. This step(s) details software to download, with a link.
+2. Download these workshop materials:
+    * Click the green "Code" button in the top right of the repository information.
+    * Click "Download Zip".
+    * Extract this file to a folder on your computer where you can easily access it (we recommend Desktop).
+3. Optional: if you’re familiar with git, you can instead clone this repository by opening a terminal and entering [GitCloneCommand].
+
+## Is [Language] not Working on Your Computer?
+
+If you do not have [Language] installed and the materials loaded on your
+workshop by the time it starts, we *strongly* recommend using the UC Berkeley
+Datahub to run the materials for these lessons. You can access the DataHub by
+clicking the following button:
+
+[![DataHub](https://img.shields.io/badge/launch-datahub-blue)](https://datahub.berkeley.edu/hub/user-redirect/git-pull?repo=https%3A%2F%2Fgithub.com%2Fmeiqingli%2FPython-Geospatial-Fundamentals-Pilot&branch=main&urlpath=tree%2FPython-Geospatial-Fundamentals-Pilot%2F)
+
+The DataHub downloads this repository, along with any necessary packages, and
+allows you to run the materials in an RStudio instance on UC Berkeley's servers.
+No installation is necessary from your end - you only need an internet browser
+and a CalNet ID to log in. By using the DataHub, you can save your work and come
+back to it at any time. When you want to return to your saved work, just go
+straight to the [D-Lab DataHub](https://dlab.datahub.berkeley.edu), sign in, and
+you click on the `[Workshop-Name]` folder.
+
+If you don't have a Berkeley CalNet ID, you can still run these lessons in the cloud, by clicking this button:
+
+[![Binder](https://mybinder.org/badge_logo.svg)](BINDER_LINK_HERE)
+
+By using this button, however, you cannot save your work.
+
+
+## Run the Code
+
+Now that you have all the required software and materials, you need to run the code:
+
+Provide instructions on running the code, including how to load relevant software (RStudio, Jupyter Notebooks, etc.) and which file to open up. See other repositories for examples.
+
+Additionally, provide instructions on how to run code once it’s open (running Jupyter cells, RMarkdown cells, etc.).
+
+# Additional Resources
+
+Check out the following resources to learn more about [Workshop topics]:
+
+* [Resource1](LinkToResource1): _Explain Resource 1_
+* [Resource2](LinkToResource2): _Explain Resource 2_
+* [...]
+
+
+# About the UC Berkeley D-Lab
+
+D-Lab works with Berkeley faculty, research staff, and students to advance data-intensive social science and humanities research. Our goal at D-Lab is to provide practical training, staff support, resources, and space to enable you to use R for your own research applications. Our services cater to all skill levels and no programming, statistical, or computer science backgrounds are necessary. We offer these services in the form of workshops, one-to-one consulting, and working groups that cover a variety of research topics, digital tools, and programming languages.  
+
+Visit the [D-Lab homepage](https://dlab.berkeley.edu/) to learn more about us. You can view our [calendar](https://dlab.berkeley.edu/events/calendar) for upcoming events, learn about how to utilize our [consulting](https://dlab.berkeley.edu/consulting) and [data](https://dlab.berkeley.edu/data) services, and check out upcoming [workshops](https://dlab.berkeley.edu/events/workshops).
+
+# Other D-Lab [Language] Workshops
+
+Here are other [Language] workshops offered by the D-Lab:
+
+## Basic Competency
+
+**Provide a list of workshops here.**
+
+## Intermediate/Advanced Competency
+
+**Provide a list of workshops here.**
+
+# Contributors
+
+**Provide a list of contributors here, with links to their webpages (D-Lab or
+private).**
diff --git a/data/California_County_Boundaries/California_County_Boundaries.xml b/data/California_County_Boundaries/California_County_Boundaries.xml
@@ -0,0 +1,57 @@
+<?xml version="1.0" encoding="UTF-8"?><metadata>
+    <idinfo>
+        <descript>
+            <abstract>In late 1996, the Dept of Conservation (DOC) surveyed state 
+and federal agencies about the county boundary coverage they used. As a 
+result, DOC adopted the 1:24,000 (24K) scale U.S. Bureau of Reclamation 
+(USBR) dataset (USGS source) for their Farmland Mapping and Monitoring 
+Program (FMMP) but with several modifications. Detailed documentation of
+ these changes is provided by FMMP and included in the lineage section 
+of the metadata.A 
+dataset was made available (approximately 2004) through CALFIRE - FRAP 
+and the California Spatial Information Library (CaSIL), with additional 
+updates throughout subsequent years. More recently, an
+ effort was made to improve the coastal linework by using the previous 
+interior linework from the 24k data, but replacing the coastal linework 
+based on NOAA's ERMA coastal dataset (which used NAIP 2010). In
+ this dataset, all bays (plus bay islands and constructed features) are 
+merged into the mainland, and coastal features (such as islands and 
+constructed features) are not included, with the exception of the 
+Channel Islands which ARE included.This service represents the latest released version, and is updated when new versions are released. As of June, 2019 it
+represents cnty19_1.</abstract>
+            <purpose>California County Boundaries. This layer provides an initial offering as "best available" at 1:24,000 scale. Hosted on CAL FIRE AGOL.</purpose>
+        </descript>
+        <keywords>
+            <theme>
+                <themekt>None</themekt>
+                <themekey>California</themekey>
+                <themekey>Counties</themekey>
+                <themekey>County</themekey>
+                <themekey>CAL FIRE</themekey>
+                <themekey>FRAP</themekey>
+                <themekey>Boundaries</themekey>
+                <themekey>Boundaries and Ownership</themekey>
+                <themekey>CAOpenData</themekey>
+                <themekey>California Department of Forestry and Fire Protection</themekey>
+            </theme>
+        </keywords>
+        <accconst>None</accconst>
+        <useconst>The State of California and the Department of Forestry and 
+Fire Protection make no representations or warranties regarding the accuracy of data or maps.  
+Neither the State nor the Department shall be liable under any circumstances for any direct, special, 
+incidental, or consequential damages with respect to any claim by any user or third party on account of,
+ or arising from, the use of data or maps.
+For more information about this product, date or terms of use, 
+contact calfire.egis@fire.ca.gov.
+
+
+
+</useconst>
+        <datacred>U.S. Bureau of Reclamation, California Department of Conservation, California Department of Fish and Game, California Department of Forestry and Fire Protection, National Oceanic and Atmospheric Administration </datacred>
+    </idinfo>
+    <metainfo>
+        <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
+        <metstdv>FGDC-STD-001-1998</metstdv>
+        <mettc>local time</mettc>
+    </metainfo>
+</metadata>
diff --git a/data/California_County_Boundaries/cnty19_1.cpg b/data/California_County_Boundaries/cnty19_1.cpg
@@ -0,0 +1 @@
+UTF-8
diff --git a/data/California_County_Boundaries/cnty19_1.dbf b/data/California_County_Boundaries/cnty19_1.dbf
diff --git a/data/California_County_Boundaries/cnty19_1.prj b/data/California_County_Boundaries/cnty19_1.prj
@@ -0,0 +1 @@
+PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]]
diff --git a/data/California_County_Boundaries/cnty19_1.shp b/data/California_County_Boundaries/cnty19_1.shp
diff --git a/data/California_County_Boundaries/cnty19_1.shx b/data/California_County_Boundaries/cnty19_1.shx
diff --git a/data/alameda_county.cpg b/data/alameda_county.cpg
@@ -0,0 +1 @@
+ISO-8859-1
diff --git a/data/alameda_county.dbf b/data/alameda_county.dbf
diff --git a/data/alameda_county.json b/data/alameda_county.json
diff --git a/data/alameda_county.prj b/data/alameda_county.prj
@@ -0,0 +1 @@
+PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]]
diff --git a/data/alameda_county.shp b/data/alameda_county.shp
diff --git a/data/alameda_county.shx b/data/alameda_county.shx
diff --git a/data/dataset.csv b/data/dataset.csv
diff --git a/images/Berkeley Map.jpg b/images/Berkeley Map.jpg
diff --git a/images/CRS.jpg b/images/CRS.jpg
diff --git a/images/UC Berkeley.jpg b/images/UC Berkeley.jpg
diff --git a/images/projected-coordinate-systems.jpg b/images/projected-coordinate-systems.jpg
diff --git a/images/raster_vector.png b/images/raster_vector.png
Original file line number	Diff line number	Diff line change
		@@ -0,0 +1 @@
		PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0]]