Abstract: Most of what we humans do happens on the earth and has some sort of location, geometry, and topology information associated with it. This information, also referred to as geospatial information, has been around for centuries helping us navigate and manage the land, seas, and skies. Current geospatial data is digital, dynamic, and real-time. We are seeing bulk overflows of geospatial data from complex satellite systems or handheld devices on the land. Conventional tools (called GIS) used to manage these geospatial datasets are advanced, but at the same time very complex. The complexity and cumbersomeness of these tools keeps most users from actively engaging with geospatial data and the powerful answers they can provide. For this reason, applying geospatial data to daily problems hasn’t been seen as a possibility until the Ubers and the Doordashes simplified this technology for specific use cases. They have shown that advanced doesn’t need to be complex. However, a huge gap remains between data, tools, and the users of geospatial information at large. Eight out of ten people still think “geospatial” is a strange complex word, though they directly or indirectly depend on these systems be it for everyday route finding, homebuying, community design, or finding school districts and neighborhoods to move into. While these may be simple daily use cases for people in general, even advanced users that are engineers, farmers, economists, public health experts, geologists, or land developers, don’t have access to a nimble GIS tool. GIS remains to be a complex, pricey, and specialist-only tool. End-users need a tool that efficiently brings users closer to answers than to data, a tool that is easy to use without taking a semester long college course, and a tool that is affordable and ubiquitous.
Bio: Dr. Kiran Manchikanti is a diligent enthusiastic geospatial professional with proficiencies in the areas of GIS, Spatial Thinking, GIS Database Architecture, WebGIS, Cloud Technologies, Geospatial Algorithms, Spatial Problem Solving, Geospatial Training, Geospatial Computations and Software Development, Remote Sensing, GPS, Geospatial Optimization, Big Data Analytics, and GIS Confluence with other Application Areas like Transportation, Urban & Regional Planning, Agriculture, Irrigation, Precision Agriculture, Geotechnical Environmental Engineering, Healthcare, Oil, Gas, Energy and Utilities, Natural Resources, Hydrology, Hydrogeology, Econometrics, Big Data and Geospatial Intelligence. Kiran presents with over 22 years of experience in the geospatial field; world-class education; and a complete ground-up on the scientific and inside-the-black-box concepts of geospatial technologies; rare innovations in space/time data models and geospatial optimization; rave reviews and awards for his outstanding research, problem-solving, and management skills.
Abstract: Most of what we humans do happens on the earth and has some sort of location, geometry, and topology information associated with it. This information, also referred to as geospatial information, has been around for centuries helping us navigate and manage the land, seas, and skies. Current geospatial data is digital, dynamic, and real-time. We are seeing bulk overflows of geospatial data from complex satellite systems or handheld devices on the land. Conventional tools (called GIS) used to manage these geospatial datasets are advanced, but at the same time very complex. The complexity and cumbersomeness of these tools keeps most users from actively engaging with geospatial data and the powerful answers they can provide. For this reason, applying geospatial data to daily problems hasn’t been seen as a possibility until the Ubers and the Doordashes simplified this technology for specific use cases. They have shown that advanced doesn’t need to be complex. However, a huge gap remains between data, tools, and the users of geospatial information at large. Eight out of ten people still think “geospatial” is a strange complex word, though they directly or indirectly depend on these systems be it for everyday route finding, homebuying, community design, or finding school districts and neighborhoods to move into. While these may be simple daily use cases for people in general, even advanced users that are engineers, farmers, economists, public health experts, geologists, or land developers, don’t have access to a nimble GIS tool. GIS remains to be a complex, pricey, and specialist-only tool. End-users need a tool that efficiently brings users closer to answers than to data, a tool that is easy to use without taking a semester long college course, and a tool that is affordable and ubiquitous.
Bio: Dr. Kiran Manchikanti is a diligent enthusiastic geospatial professional with proficiencies in the areas of GIS, Spatial Thinking, GIS Database Architecture, WebGIS, Cloud Technologies, Geospatial Algorithms, Spatial Problem Solving, Geospatial Training, Geospatial Computations and Software Development, Remote Sensing, GPS, Geospatial Optimization, Big Data Analytics, and GIS Confluence with other Application Areas like Transportation, Urban & Regional Planning, Agriculture, Irrigation, Precision Agriculture, Geotechnical Environmental Engineering, Healthcare, Oil, Gas, Energy and Utilities, Natural Resources, Hydrology, Hydrogeology, Econometrics, Big Data and Geospatial Intelligence. Kiran presents with over 22 years of experience in the geospatial field; world-class education; and a complete ground-up on the scientific and inside-the-black-box concepts of geospatial technologies; rare innovations in space/time data models and geospatial optimization; rave reviews and awards for his outstanding research, problem-solving, and management skills.