Offered By: IBMSkillsNetwork
Predict Sea-Rise Risks with Geospatial APIs
Learn to predict the risks of a rise in sea level using geospatial APIs. Featuring IBM Environmental Intelligence APIs, this project helps you predict sea levels, visualize data, and assess risks. These geospatial APIs provide a repository of geospatial and temporal data, along with an analytics engine capable of executing complex queries to uncover relationships between different data layers. You will use Python to visualize high-risk coastal areas, understand potential impacts, and plan for changes by leveraging the intersection of technology and environmental science.
Continue readingGuided Project
Data Science
At a Glance
Learn to predict the risks of a rise in sea level using geospatial APIs. Featuring IBM Environmental Intelligence APIs, this project helps you predict sea levels, visualize data, and assess risks. These geospatial APIs provide a repository of geospatial and temporal data, along with an analytics engine capable of executing complex queries to uncover relationships between different data layers. You will use Python to visualize high-risk coastal areas, understand potential impacts, and plan for changes by leveraging the intersection of technology and environmental science.
Exploring Environmental Intelligence with Geospatial APIs to Predict Sea-Level Rise Risks
In this guided project, you will dive into environmental intelligence by leveraging geospatial APIs to predict sea-level rise risks. These geospatial APIs offer a comprehensive repository of geospatial and temporal data, along with an advanced analytics engine capable of executing complex queries. By the end of this project, you will have used Python to visualize high-risk coastal areas, gaining invaluable skills in disaster preparedness and urban planning while exploring the exciting intersection of technology and environmental science.
This project features IBM Environmental Intelligence, which empowers individuals and organizations with the knowledge and tools to tackle environmental challenges. Understanding and predicting sea-level rise is crucial for mitigating the adverse effects on coastal communities and ecosystems. By participating in this project, you will be contributing to a larger effort to promote sustainable development and resilience in the face of climate change.
Note: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.
What you'll learn
- Understand the fundamentals of geospatial APIs and how they can be utilized for environmental intelligence.
- Learn how to use Python to interact with geospatial APIs and visualize data.
- Develop skills in identifying and analyzing high-risk coastal areas for sea-level rise.
- Gain practical experience in disaster preparedness and urban planning using data-driven insights.
What you'll need
- Basic knowledge of Python programming.
- Access to the IBM Skills Network Labs environment, which comes pre-installed with necessary tools like Docker.
- A current version of a web browser such as Chrome, Edge, Firefox, Internet Explorer, or Safari for the best experience.
Embark on this journey to enhance your technical skills while positively impacting the environment. By the end of this project, you will be well-equipped to address complex environmental challenges using cutting-edge technology.
Estimated Effort
30 Minutes
Level
Beginner
Skills You Will Learn
Data Visualization, Environmental Intelligence, Geospatial, Python
Language
English
Course Code
GPXX08VWEN