South Tejas Solutions, LLC

📦 Laptop still packed…

but curiosity waits for no one. So here’s a fun fact drop while I’m mobile:

🌊🌬️ Digging into the effect with the geospatial lens on!

La Niña is more than a passing climate headline—it's a powerful force shifting global weather and ocean patterns. And this is where Geographic Information Systems ( ) prove their worth.

Here’s how GIS helps us decode La Niña in real time:

🛰️ Satellite Altimetry – Tracks sea level changes and shifts in ocean heat content
🌡️ SST Anomalies – Maps spatial distributions of cooler-than-average Pacific surface temps
🌪️ Atmospheric Overlays – Combines pressure systems, wind patterns, and precipitation forecasts
🚨 Impact Zones – Flags regions at higher risk of droughts, flooding, or agricultural disruption

GIS goes far beyond static maps. It powers predictive modeling, spatial dashboards, and real-time analysis for stakeholders across water management, agriculture, and disaster readiness.

💬 Curious—what geospatial tools or techniques are you leaning on to monitor or mitigate climate drivers like La Niña?

Let’s share some knowledge drops 🌐👇

Written By: Chelsey weyerman

LinkedIn ClimateScience RemoteSensing EnvironmentalMonitoring DataVisualizatio Geospatial SpatialIntelligence DataAnalytics
LocationIntelligence DataInsights MappingYourFuture SmartTech SouthTejasSolutions Innovation

Did you know...❓

you can turn your CYME Access database into a cloud-native spatial dashboard in minutes?

By exporting raw CYME tables into BigQuery’s GEOGRAPHY columns, you unlock scalable GIS analysis, real-time updates, and rich map visualizations—all without spinning up servers. Here’s a quick guide:

1. Extract & Transform
• Pull node & equipment tables from CYME’s Access DB (via CymPy or ODBC)
• Convert XY coordinates to WKT or GeoJSON strings in Python/Alteryx

2. Load into BigQuery
• Create a table schema with a GEOGRAPHY column
• Use bq load or the BigQuery Python client to ingest your transformed CSV/JSON
• Leverage STGEOGFROMTEXT() or STGEOGFROMGEOJSON() for on-the-fly conversion

3. Visualize with Looker Studio or GeoViz
• Connect Looker Studio directly to your BigQuery dataset
• Set your GEOGRAPHY field as the Location and add Google Maps or Geo charts
• Apply filters (feeder, scenario, equipment type) and embed interactive dashboards

4. Go Further with Maps Datasets API
• Publish your GEOGRAPHY features as a managed “Data Layer” in Google Maps
• Overlay your utility network in web apps with dynamic styling and pop-ups

💡 Pro Tip: Automate the entire pipeline—extraction, transform, load, and dashboard refresh—using CymPy + Cloud Functions for real-time planning and compliance.

Your CYME data doesn’t have to live in silos. Let’s leverage BigQuery for spatial intelligence and cloud scale!

👇 Drop a comment what you think of Looker Studio.

CloudGIS Utilties

Want to stay up-to-date with what is going on? Follow our Page for the latest updates

Contact Olivia Quesada to schedule a meeting for your tailored GIS Services at South Tejas Solutions LLC 🌎 .

🚫 Why GIS Isn't Native to Spotfire❓

—And Why That’s OK 🗺️📊

Many ask: Why doesn’t Spotfire have full-blown GIS capabilities built-in?

📊 Spotfire excels at real-time analytics, dashboards, and data blending—but its core strength isn't geospatial processing like you'd find in dedicated GIS platforms (think spatial joins, raster analytics, or ST_ functions). TIBCO designed it as a visual analytics tool, not a spatial engine.

That said, the gap isn’t a dead end—it's an invitation.

✅ I’ve found innovative ways to integrate spatial workflows:
- Preprocessing spatial data in tools like Snowflake, BigQuery, or Python
- Using calculated columns to simulate spatial bins and classifications
- Overlaying reference image layers for contextual mapping
- Even building WebGIS apps separately to handle interactive geospatial functionality

GIS in Spotfire isn’t about what it lacks—it's about what you create.

💡 If you're blending geospatial intelligence into dashboards, let’s connect. There's a whole frontier of hybrid solutions waiting to be explored.



Spotfire Expression:
Case
when [EUR Bo./Ft3] 20 and [EUR Bo./Ft3] 30 and [EUR Bo./Ft3] 40 and [EUR Bo./Ft3] 50 then "5 Dark green: x > 50"
end

Happy Mother’s Day to all the strong women out there pulling double duties we see yall 💪🏽

- Quesada Family

How does GIS help Farming 🚜🧺🌽

Precision Farming: GIS is Feeding the Future 🌍 From drones to soil sensors, the landscape of agriculture is rapidly evolving—and Geographic Information Systems (GIS) are at the heart of it.

Farmers today don’t just plant and pray. They analyze. GIS helps optimize:

🌱 Irrigation patterns for water conservation

🚜 Fertilizer application to reduce environmental impact

🗺️ Field variability so each plot gets exactly what it needs

🚜 Updated equipment comes with GPS and sensors to assist with planting and harvesting.

The result? Healthier crops, efficient resource use, and data-driven decisions that push sustainability forward.

GIS is turning agriculture into a high-tech, high-yield science. And yes, a map might just be your farm's most valuable tool.

Written by Chelsey weyerman

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- SustainableFarming
- DataDrivenFarming
- AgriInnovation
- GeoEnabledFarming
- SpatialIntelligence
- FarmTech
- LocationIntelligence
- MappingTheFuture
- AgTechSolutions
- GISForGood
- ModernFarming
- SmartFields

Did you know? 👀

Empowering Energy Decisions with Custom WebGIS Solutions 💻

At South Tejas Solutions, LLC we are committed to delivering tailored GIS solutions that meet the unique needs of the energy sector. That’s why I’m diving into full WebGIS development — not just using GIS tools, but learning how to build powerful, interactive applications from the ground up.

🎯 Our Visions: Develop a custom WebGIS platform that helps identify suitable locations for:
📍Oil and gas production — based on geology, infrastructure, and regulatory zones
📍Solar farms — considering solar irradiance, land availability, and grid access
📍Data centers — factoring in power supply, connectivity, and environmental risk

By combining spatial analysis with real-time data insights, our goal is to equip energy professionals with the tools they need to make confident, data-driven decisions I’m also taking this course to refresh my coding skills and explore new technologies that will help me turn our company’s vision into reality. It’s about staying ahead, solving real problems, and building tools that make a difference.

🙏 Thank you Christian Lutz for creating this course and making it accessible to everyone. It’s been a pleasure to learn from it, and I highly recommend others take advantage of this course — or any course — to keep moving forward in today’s fast-paced tech world. 🌎

Excited to build something meaningful and share more soon!

"Mapping Energy Potential — One Custom GIS Solution at a Time." Powered by South Tejas Solutions, LLC southtejassolutions.com

🌐 Location Intelligence Meets the Cloud: Elevating GIS Insights ☁️📍

In today’s data-driven world, Geographic Information Systems (GIS) don’t just map the Earth—they map opportunity.

By integrating GIS with cloud-native platforms like Google Cloud, Azure, or AWS, we unlock a new level of spatial analytics at scale:
🔹 Seamless processing of terabytes of geospatial data in BigQuery or Amazon Redshift
🔹 Real-time visualizations powered by Kepler.gl dashboards in a scalable cloud setup
🔹 Cross-team collaboration through secure, cloud-based geospatial APIs
🔹 Automated workflows that make location insights more dynamic and accessible

Whether planning data center locations, analyzing urban infrastructure, or modeling environmental impact—GIS in the cloud is how data gets spatially smart and cloud-sharp.

📍 Cloud-first. Location-smart. Insight-driven.

GIS & Coral Reefs‼️‼️‼️

FunFactFriday 🌊
Did you know that GIS (Geographic Information Systems) is playing a critical role in saving coral reefs?

Coral reefs 🪸 are more than just beautiful underwater structures—they protect coastlines from erosion, support marine biodiversity 🐠, and are vital to the health of our oceans. But due to rising ocean temperatures, they’re experiencing bleaching—losing the vibrant algae that keep them alive.

Here’s where GIS steps in:
📍 Mapping Reef Health using satellite and underwater imagery
📊 Tracking Changes Over Time through layered historical data
🔮 Predicting Future Impacts with climate modeling
🌐 Engaging the Public via interactive tools like NOAA’s Data Viz Platform
🌱 Identifying Restoration Zones with habitat suitability analysis

GIS doesn’t just visualize the damage—it helps us prevent it and drive smart ocean conservation strategies. 🧠💙

Read more via NOAA: https://lnkd.in/dgcmZ_X

Written by: Chelsey weyerman

🔍 Unlocking the Power of Lidar Data: The Essential Tools You Need

Did you know that one Lidar scan can generate millions of 3D data points? 🚀 But these raw numbers mean little without the right tools to transform them into actionable insights.

Why Lidar Processing Matters:
Precision in mapping and encroachment detection depends on converting raw Lidar data into robust visualizations and analytics. Whether you're in urban planning, environmental management, or infrastructure monitoring, processing point clouds accurately is a real game-changer. 🌍💡

Top Tools to Supercharge Your Lidar Workflow:
- LAStools: 🔧 A fast suite for filtering, classifying, and compressing LAS/LAZ files – perfect for preprocessing.
- PDAL (Point Data Abstraction Library): 🖥️ The GDAL of point clouds, ideal for building scalable, automated pipelines.
- CloudCompare: 👀 An open-source tool for visualization, editing, and comparative analysis of 3D point clouds.
- QGIS with LAStools/PDAL Plugins: 🗺️ A versatile GIS platform that integrates Lidar processing with spatial data mapping.
- Potree: 🌐 A web-based viewer for interactive 3D point cloud visualizations, making data sharing effortless.
- ArcGIS Pro (with 3D Analyst): 📊 Esri's comprehensive solution for surface modeling, classification, and advanced geospatial analytics.

How It All Comes Together:
Imagine a dynamic pipeline:

1. Data Capture: A Lidar scanner and camera capture millions of data points and high-resolution imagery in real time.
2. Data Fusion: These elements merge into a detailed 3D point cloud, forming the basis for further analysis.
3. Analytics & Visualization: Advanced algorithms detect subtle encroachments and changes. Interactive dashboards and maps display this information, providing clear, actionable insights.

What tools are you excited about using, or already using, in your Lidar projects? Let’s spark a conversation and explore how these technologies are reshaping our industry! 🔄💬