Powering Global Data Access for All
iCHARM
A Data-Driven Environmental Information Web Application Developed by
Ryan Paul Lafler
The Interactive Comprehensive Hub for Analytical Research and Monitoring. Powering high-speed, global access to massive environmental data repositories stored in the cloud.
Developed by Ryan Paul Lafler of Premier Analytics Consulting, LLC. iCHARM leverages the latest open-source programming languages, frameworks, and graphics visualization systems to quickly deliver publicly accessible environmental data in the cloud to anyone, anywhere, and at anytime.
iCHARM features a diverse selection of historical, current, and forecasted big environmental data repositories and simulations, integrated with current socioeconomic profiles and infrastructure records for the entire United States.
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Simple. Intuitive. Fully-Interactive. Interact with environmental data like never before. View global and local environmental records through an intuitive point-and-click interface. Visualize big environmental records, socioeconomic data, and infrastructure profiles together using high-fidelity graphics in 3D-interactive environments, accessible on laptops, tablets, and mobile phones.
Unprecedented Interaction with Diverse Environmental Repositories and Products
Unlock unparalleled access and interactivity with historical, current, and forecasted environmental data repositories and model simulations.
No coding or programming knowledge required. Find the repositories of interest, use point-and-click querying to determine the time period and variables of interest, and have the data immediately processed and visualized for you.
Anyone, of any age and educational background, can use the iCHARM interface to better understand high-resolution environmental and meteorological datasets at the push of a button.
This is just one of the ways iCHARM is powering global data access for all.​​
Experience Environmental Data Like Never Before with User-Centric Analysis, Customizations, and Visualizations
Immerse yourself in environmental, meteorological, and spatiotemporal datasets through dynamic visualizations, tailored customizations, and informative animations that ushers in a new dimension of clarity and insight to existing data.
iCHARM's growing repositories of data, integrated by our state-of-the-art cloud pipelines, are bringing all users closer to the frontlines of climate data like never before.​​​
Effortlessly Retrieve and Process Spatiotemporal Data of All Types with Our Seamless Pipelines
Let iCHARM's data pipelines do the heavy-lifting for you. Our pipelines are capable of processing a variety of compressed / uncompressed file formats and their spatiotemporal properties.
Whether you're accessing gridded raster datasets, multidimensional atmospheric arrays, or (fixed or moving) station datasets, iCHARM can process, extract, and deliver key insights from those raw files without you even noticing them.
iCHARM's data optimizations make handling large spatiotemporal datasets stored in any cloud storage providers, pre-existing APIs, or servers easy to integrate and deliver.​​
Evaluate the Risks Posed by Extreme Weather on Global Communities
iCHARM's data integration extends beyond environmental, meteorological, and spatiotemporal repositories, it also integrates socioeconomic profiles for communities within the United States to better understand the impacts of extreme weather phenomena on neighborhoods and infrastructure.
iCHARM gives the general public, policy-makers, businesses, and emergency personnel access to critical socioeconomic and infrastructure datasets to better prepare, mitigate, and bolster infrastructure to protect against extreme weather events.
Our data-driven approach to extreme weather resilience highlights the interactions between environmental and socioeconomic factors so that policy-makers, governments, and businesses can invest in and safeguard communities from extreme environmental impacts.​​
iCHARM Features at a Glance
Global Environmental, Infrastructure, and Socioeconomic Data All in One Responsive Application
High-Speed Cloud Pipelines for Rapid Data Retrieval, Processing, and Analysis
Interactive Graphics, User-Centric Design, Point-and-Click Querying, and Cutting-Edge Visuals
Built Entirely from Open-Source Programming Languages and Frameworks
Retrieve, Process, and Deliver Any Type, Format, and Structure of Spatiotemporal Data
Integrates Statistical Analysis and Machine Learning Algorithms to Understand Weather Impacts
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