Exploring the world of cloud-native geospatial technologies like Geoparquet, range requests, and COPCs. Understanding the impact of these concepts on GIS in the future. Special focus on GeoParquet and its role in cloud-native geospatial. Insightful conversations with experts and recommendations for further exploration in the field.

Mappedin started as a school project and evolved into a leading indoor mapping company, working with malls, airports, hospitals, and Fortune 500 companies.   You guessed, today's podcast is all about indoor mapping, why it's hard, what are the use cases driving it, what the state of the art looks like today and what we can expect in the future.   Key points discussed include: 1. **The Challenge of Indoor Mapping**: Unlike outdoor mapping, indoor environments are complex due to the density of objects and frequent changes. Moreover, indoor spaces are mostly private property, making it difficult to collect data comprehensively. 2. **Importance of Indoor Maps**: Despite the challenges, the need for indoor maps is growing. Applications range from wayfinding in malls and airports to optimizing logistics in warehouses and creating better guest experiences in various venues. 3. **Mappedins's Approach**: enabling non-experts to create and maintain indoor maps. Their tools are designed for everyday users, allowing them to update maps as easily as they would a document in Google Docs. 4. **Technological Advances**: While technologies like LiDAR and digital twins offer detailed 3D models, are they really practical? . 5. **Indoor Positioning**: Accurate indoor positioning is crucial for the success of indoor maps, similar to how GPS revolutionized outdoor mapping. However, this remains a challenging area due to signal interference and the complexity of indoor spaces. 6. **Future Outlook**:  Digital indoor maps become as ubiquitous as Wi-Fi, providing essential data for various applications and improving overall user experience ... but we are not there yet! Try Mappedin for yourself https://www.mappedin.com/ or connect with Hongwei  here  https://www.linkedin.com/in/hongweil/    Recommended Listening  Where does the blue dot come from ( how Google knows your location ) Hyper Accurate Indoor Location Using the Geomagnetic fields of buildings to navigate indoors   I am working on a new project https://quickmaptools.com/ and would really appreciate some feedback!             

Hugo Powell from immap.org discusses leveraging GIS for rapid decision-making in emergencies. Tools like Kobo Toolbox, ODK Collect, QGIS, Tableau, Power BI, HDX, and HOT are highlighted for data collection, analysis, and visualization. The importance of local knowledge, open-source software, and global connectivity in humanitarian GIS work is emphasized.

Brendan Ashworth, CTO of Bunting Labs, talks about AI Autocomplete for vectorization in QGIS. They discuss challenges in map digitization, the development process, and why QGIS was chosen over other platforms. Brendan's journey from software engineer to geospatial tech player is highlighted, along with the potential of merging geospatial data with machine learning.

Learn how Emlid revolutionized high precision GNSS receivers, making them more affordable and user-friendly. Discover the innovations in GNSS technology that reduced costs and size, paving the way for centimeter accuracy positioning. Explore the challenges of bringing high precision positioning to smartphones and the potential of combining GNSS with visual positioning technologies for better mapping efficiency.

Refactoring the Way you Talk About your geospatial skills: It is Costing you Money Some of the key topics in this episode  1.Our Geospatial Skills and Marketability: There's a realization that while our traditional geospatial skills are valuable, they might not always be marketed effectively to match the broader IT and data analysis job markets. We discuss the benefit of framing our skills in terms that are more widely recognized outside the niche of geospatial technology, such as data science or IT. 2.The Spatial Discount: We explore the concept of the spatial discount, which refers to the observation that geospatial professionals might face a disparity in compensation compared to their counterparts in more generalized IT roles, despite having highly transferable and valuable data manipulation skills. 3. Skill Development and Adaptation: The importance of continually developing skills that are not only advanced within the geospatial domain but also marketable across various sectors is emphasized. Learning and mastering technologies that have broad applications, such as SQL for spatial data manipulation, can enhance our versatility and marketability. 4. Communication and Marketing Skills: Our ability to effectively communicate and market our skills is highlighted as crucial for career advancement. We are encouraged to adopt the language and terminology that resonate with broader industries and potential employers, moving beyond the jargon of the geospatial field. 5. Finding Value in Our Geospatial Work: The discussion also touches on the importance of identifying and articulating the real-world value of our geospatial work. We should focus on how our skills can solve practical problems and address the needs of businesses and organizations, rather than solely on the technical complexity of our tasks. 6. Professional Development: Lastly, the conversation advocates for a proactive approach to our professional development, suggesting that we should seek out opportunities to learn new skills and technologies that align with market demands and personal interests. These points collectively suggest a strategy for us, as geospatial professionals, to enhance our career prospects: by broadening our skill sets, effectively marketing our capabilities, and aligning our work with the needs and language of the wider IT and data analysis fields.   Connect with Brain Timoney on LinkedIn  Thank you to our sponsors  https://www.scribblemaps.com/  https://merginmaps.com/   Recommended Listening   Modern Geospatial Rebranding Gis and Geospatial Getting Where You Want To Go In Your Geospatial Career Mid-Career Change    

Discover what modern geospatial entails as the CEO of SparkGeo, Will Cadell, discusses the intersection of cloud, smart space, open source data/standards, AI, and smart devices. Learn the importance of modernization versus innovation in enhancing geospatial capabilities and understanding end-users' perspectives for better solutions.

The main topics discussed during this episode include: Basics of LIDAR data and its applications. Differences between LIDAR and photogrammetry. Processing chain of LIDAR data. Challenges in classifying point clouds. Applications of LIDAR technology in vegetation mapping, terrain modelling, and infrastructure inspection. The future of LIDAR technology includes the potential for more affordable and widespread use. Importance of automated processing tools for handling large volumes of data. Connect with Nejc Dougan here: https://www.linkedin.com/in/nejcdougan/ or at https://www.flai.ai/    Recommended listening    Cloud Optimized Point Clouds https://mapscaping.com/podcast/cloud-optimized-point-clouds/   PDAL - the point data abstraction library https://mapscaping.com/podcast/pdal-point-data-abstraction-library/   Lidar from drones https://mapscaping.com/podcast/lidar-from-drones/   Bathymetric Lidar https://mapscaping.com/podcast/bathymetric-lidar-and-blue-carbon/    

Alex Leith is a Digital Earth Architect and in this episode, you will learn what Infrastructure as code is  - hint it is the opposite of the "clicky-clicky" and so much more! Connect with Alex here https://auspatious.com/   Recommended Listening  Cloud-Optimized Point CLounds https://mapscaping.com/podcast/cloud-optimized-point-clouds/   Cloud Native Geospatial  https://mapscaping.com/podcast/cloud-native-geospatial/   Planet Scale Tiled Maps without a Server https://mapscaping.com/podcast/planet-scale-tiled-maps-without-a-server/   What is Modern GIS https://mapscaping.com/podcast/what-is-modern-gis/

In this episode of the MapScaping Podcast, Kushang Wu discusses GMAP, an open-source Python library for interactive mapping with Google Earth Engine. He explores the development process, the differences between client and server objects in GIS, and the capabilities and limitations of GMAP. He also emphasizes the impact of sharing geospatial tools and resources and provides links for further exploration.