This book provides the tools, the methods, and the theory to meet the challenges of contemporary data science applied to geographic problems and data. Intended audience: geographers new to data science and data scientists new to geography.

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

In this module, five units are provided that introduce students to 1) the physical concepts of flooding and its impact on the natural environment and humans, 2) methods to estimate flood frequency, 3) using LIDAR to compute hydraulic properties of streams, 4) hydraulic modeling tools to map flood-prone areas for different return periods. A fifth unit guides students towards translating these probabilities and flow rates to flood risk in a culminating assignment. This module is intended for upper level geosciences and engineering students.

This is available in public domain and does not require any formal license, citation or acknowledgement, but acknowledging the source and creators will be appreciated.

This activity includes four two modules on using Jupyter Notebook to automatically download and pre-process (mosaic, project and clip) digital elevation model (DEM) for any United States Geological Survey (USGS) streamflow gauging station watershed area in the U.S.

This is publicly available educational resource so no formal license, citation, or acknowledgement is required, but acknowledging the source and the creators will be appreciated.

Natural processes cause various hazards. Humans can't eliminate them but can reduce their impact. Boulder, Colorado, experienced heavy rain from September 9-15, 2013, causing severe flooding and a great deal of damage. In this activity, students will be introduced to this event, they will generate questions as scientists around the cause of flooding. They will interpret data from a bar graph of Boulder Colorado Hourly Rainfall to see how much rain fell. They will then learn how to use a data set in CODAP to create a hydrograph, showing the peak flow of water. When they compare the two graphs they will discover a lag time between precipitation and streamflow peak. They will then identify the cause of this lag. Returning to the Boulder River flooding, students will diagram where the extra water came from to cause the river to flood. They will then be challenged to go through the engineering design process to solve one of the problems that was caused.

MS-ESS3.B. Natural Hazards

In this activity, students will: 1) Describe the connection between atomic mass and other atomic properties: atomic radius, ionization energy and electron affinity; 2) Use data to support/exemplify the meaning of periodicity in the context of atomic trends; 3) Make and interpret graphs that convey differences between periodic and nonperiodic trends; and 4) Construct a table that organizes elements according to periodic trends and infer missing elements required to complete periodic trends

HS-PS1-1. Use the periodic table as a model to predict the relative properties of elements based on the patterns of electrons in the outermost energy level of atoms.

In this module, you will explore the structure-function relationship in proteins; that is, how the 3-D structure of a protein affects its function, and/or how the function of a protein dictates its structure. This activity will allow you to explore different variables associated with a variety of proteins.

HS-LS4-4. Construct an explanation based on evidence for how natural selection leads to adaptation of populations.

Andromeda: MIT License; Bradley, J., Campolongo, E. G., Thompson, M. J., Rubenstein, D., Lapp, H., & House, L. (2024). Andromeda (Version 1.3.1) [Computer software].

In this activity, students will be able to collect and analyze leaf data in order to construct a scientific explanation on the relationship between structure and function in diverse environmental conditions.

MS-LS2-1. Analyze and interpret data to provide evidence for the effects of resource availability on organisms and populations of organisms in an ecosystem. MS-LS2-4. Construct an argument supported by empirical evidence that changes to physical or biological components of an ecosystem affect populations. HS-LS4-4. Construct an explanation based on evidence for how natural selection leads to adaptation of populations.

Andromeda: MIT License; Bradley, J., Campolongo, E. G., Thompson, M. J., Rubenstein, D., Lapp, H., & House, L. (2024). Andromeda (Version 1.3.1) [Computer software].

This unit uses deer population data from Salida, CO to address multiple learning goals: 1) Understand Ecosystem Balance; 2) Explore Deer Population Impact; 3) Investigate Human and Natural Factors Affecting Deer Population Size; 4) Analyze Data and Evidence; 5) Develop Solutions and Actions; 6) Engage in Collaborative Learning; and 7) Reflect on Local and Global Implications

LS2.A: Interdependent Relationships in Ecosystems

The Peer Alliance for Learning and Support (PALS) Program promotes interdisciplinary capacity building among NextGen (graduate student and post docs) through a reciprocal peer mentoring relationship focused on shared knowledge transfer, skill development, and relationship building. Each participating NextGen will be provided with a PAL in a different discipline (i.e., computer scientists will be paired with biologists, and vice versa) who they can reach out to when they need guidance on a particular imageomics-related research problem/task or when navigating difficult situations with other researchers or faculty.