Unlock the full potential of your data
In data science, statistics is at the core of sophisticated machine learning algorithms, capturing and translating data patterns into actionable evidence. Many statistical organizations are beginning to use location as the connective thread to uncover hidden patterns and improve predictive modeling. ArcGIS is your analysis technology, allowing you to derive spatial relationships and process, visualize, and understand images and data. ArcGIS allows you to see patterns, facilitate collaboration, and accelerate your science.
Know that patterns are real with spatial statistics. Use analysis tools that quantify the spatial patterns you see in a defensible, reproducible way. Apply data mining, machine learning, and statistics to find natural spatial and multivariate data clusters.
Integrate the temporal aspect of your data alongside the spatial. Find out when and where things are happening. Use historic trends and additional information to uncover current trends and patterns and make spatiotemporal forecasts.
Make accurate predictions using powerful statistical and machine learning methods. Model interaction, flow, and movement in space and time. Create prediction surfaces using sophisticated geostatistical techniques. Examine and quantify data relationships and forecast spatial outcomes.
Turn raw location fields into analysis-ready data with ease. Benefit from tools made especially for spatial data prep. Use data from multiple sources to enable, extract, transform, and enrich location values. Give data meaning when you put it into context of the real world.
Visualize spatial patterns, trends, outliers, and anomalies. Generate hypotheses and keep your analysis moving forward. Explore your data to be sure you're asking the right questions. View raw data and results as part of the iterative analysis process.
Go beyond simple map visualizations by integrating location data into your analysis. Answer spatial questions using the most comprehensive set of analytical methods and algorithms available. Perform site selection, find clusters, make predictions, and quantify how patterns change over time. Create sophisticated statistical and machine learning models that unlock the full potential of your data.
Transform massive spatial data into manageable information. Use a distributed architecture to analyze and display large volumes of data. Ingest real-time data from sensors, social media feeds, and Internet of Things (IoT) systems. Let the Esri Geospatial Cloud automatically scale your analysis and data storage.
Automate your spatial analysis processes. Train sophisticated analytical models using spatial data science tools and techniques. Reduce the chance of error and make your job easier and faster. Add new functionality to ArcGIS using Python and integrate with other data science modules and packages to solve any problem.
Use machine learning and AI to train and infer using tools designed to solve the complex spatial problems you face. Combine powerful built-in tools with machine learning and deep learning frameworks you use, including sci-kit learn, TensorFlow, R, IBM Watson, and Microsoft AI. Use state-of-the-art algorithms to make data-driven decisions.
VISUALIZATION
Statistics Canada introduces a new way to view census data with a series of visualization tools built using ArcGIS and Geocortex software.
ARTIFICIAL INTELLIGENCE
Kuwait's PACI it used geospatial AI to perform road extraction.
DEEP LEARNING
The island nation of Grenada used ArcGIS Image for ArcGIS Online to develop GIS data from imagery.
DEEP LEARNING
Creating a deep learning model and training dataset with GIS allows PACI to automate much of its mapping, realizing time and cost savings.
DATA
The FCSC embraces ArcGIS through its 1Map Platform to help improve the understanding of data while making it easily accessible for all people.
MACHINE LEARNING
The technology evolved and a range of government agencies began implementing GIS—now Kuwait is blazing trails in machine learning.
ArcGIS Pro supports data visualization, advanced analysis, and authoritative data maintenance in both 2D and 3D.
A powerful Python library for mapping, spatial analysis, data science, geospatial AI and automation.
ArcGIS Notebooks provide a Jupyter notebook experience optimized for spatial analysis.
ArcGIS GeoAnalytics Server provides a diverse collection of analysis tools that enable you to quickly analyze your data across space and time.
ArcGIS Image for ArcGIS Online is a complete software as a service (SaaS) offering for hosting, analyzing, streaming imagery, raster collections.
Statistics touches many parts of your life. From policy and decision-making to electoral boundaries, public safety, and sustainability, official statistics and GIS are making communities smarter.
