Unlocking the Future of Geospatial Insights In a world driven by data, where location is the linchpin connecting disparate information streams, the synergy between Databricks, Apache Spark, and Esri’s Geoanalytics Engine emerges as a formidable force—a triumvirate reshaping the very landscape of geospatial analytics. The era of data-driven decision-making has dawned upon us, and at […]
Author: Pete George
The Work From Home Multiplier
COVID changed everything. It’s been said, and repeated. Many of us left the office, some of us returned, some of us will return, and some won’t. Dozens of articles have been published on why work from home (WFH) is a negative to companies, and likewise for positive articles. They all treat it as a value […]
The Potential of ArcGIS Knowledge: Advantages and Integration Strategies
Introduction In the field of Geographical Information Systems (GIS), tools that enable efficient data management and analysis are essential. ArcGIS Knowledge is a platform that enables users to create and manage knowledge graphs for spatial data. In this blog post, we explore various implementations and benefits of ArcGIS Knowledge. Graph Database Background Graph databases and […]
Exploring Geospatial Big Data with Apache Spark
Written by Peter George and Tony Segero Processing speed can be a major crutch in geospatial data analytics. Integrating Apache Spark’s analytics engine can help expedite the large data processing steps, increasing program efficiency and data exchange. Fake it till you make it We decided to test using some larger scale streaming data processed with […]
Computer Vision and Convolutional Neural Networks in ArcGIS
Recently, GEO Jobe explored image-based neural networks with GIS technology and maps. Convolutional Neural Networks, or CNNs, are a machine learning application that utilizes imagery to train a model to detect and classify objects in other imagery datasets. “Computer vision (CV) enables computers and systems to derive meaningful information from digital images, videos, and other […]
2D, 3D, 4D: Spatiotemporal Visualization in ArcGIS Pro
Finding the correct balance of logic and appeal with data is often a struggle. Data can be bland, confusing, full of acronyms and numbers unknown to users. Finding a way to make this accurately representational with the WOW factor can be a challenge. The more complex the data becomes, the more difficult it can be […]