Rene Parekh on LinkedIn: #gis #geospatialpython #cartography (2024)

Rene Parekh

GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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To create a map of wildfires in Australia from January 2024 to June 2024 using Python, we can utilize libraries such as folium for mapping and pandas for data manipulation. Here's an example of how you could approach this task:import foliumimport pandas as pdfrom datetime import datetime# Assuming you have a CSV file with wildfire data# The CSV should have columns: date, latitude, longitude, and fire_size# Load the datadf = pd.read_csv('australia_wildfires_2024.csv')# Convert date column to datetimedf['date'] = pd.to_datetime(df['date'])# Filter data for January to June 2024start_date = datetime(2024, 1, 1)end_date = datetime(2024, 6, 30)df_filtered = df[(df['date'] >= start_date) & (df['date'] <= end_date)]# Create a map centered on Australiam = folium.Map(location=[-25.2744, 133.7751], zoom_start=4)# Add fire markers to the mapfor idx, row in df_filtered.iterrows(): folium.CircleMarker( location=[row['latitude'], row['longitude']], radius=row['fire_size'] / 100, # Adjust the divisor to scale the circle size appropriately popup=f"Date: {row['date'].date()}, Size: {row['fire_size']} hectares", color='red', fill=True, fillColor='red' ).add_to(m)# Save the mapm.save('australia_wildfires_2024_jan_to_june.html')```This code does the following:1. We import the necessary libraries: folium for creating the map, pandas for data manipulation, and datetime for date filtering.2. We load the wildfire data from a CSV file. The CSV should contain columns for date, latitude, longitude, and fire size.3. We convert the date column to datetime format for easier filtering.4. We filter the data to include only wildfires from January 1, 2024, to June 30, 2024.5. We create a folium Map object centered on Australia.6. We iterate through the filtered data and add a CircleMarker for each wildfire. The size of the marker is proportional to the fire size.7. Finally, we save the map as an HTML file.To use this code, you would need to have a CSV file with the appropriate data. You can obtain this data from various sources, such as government agencies or research institutions that track wildfires. The NASA FIRMS (Fire Information for Resource Management System) mentioned in the search results could be a potential source for such data.Note that this is a basic example and can be enhanced in many ways, such as:- Adding a legend to explain the marker sizes- Using different colors for different fire intensities- Adding time-based animations to show the progression of fires over the months- Incorporating additional layers for terrain, vegetation, or population densityRemember to install the required libraries (folium and pandas) using pip before running the code:pip install folium pandasThe code provided is the basic code and can be modified according to the data provided. Found value? Follow Rene Parekh Reposting means a lot. #gis #geospatialpython #cartography

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  • Rene Parekh

    GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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    Greetings! Generative AI (GenAI) is transforming how businesses leverage location intelligence through GIS. This integration is a game-changer, empowering even non-technical users to interact with GIS software using natural language prompts. 🌐This democratization of access to powerful geospatial tools allows employees to effortlessly generate maps, analyze real estate opportunities, and gather demographic insights. Key benefits include:1. Enhanced Productivity: Freeing up technical specialists to focus on higher-value tasks.2. Agility in Operations: Quick creation of location-aware forms and surveys, improving real-time data collection and decision-making.3. Improved Collaboration: Streamlined communication between office staff and field professionals, ensuring faster and clearer feedback loops. Imagine a real estate manager generating a detailed property evaluation map or a technician updating service records on-the-go, all through simple voice or text commands. The future of GIS is here, and it's more accessible and powerful than ever before! 🚀You can read about this in an article published by ESRI here: https://lnkd.in/dNR7Cmg7Feel free to share your thoughts and experiences with GenAI and GIS in the comments below! Let's discuss how this technology is transforming your business operations. 💬How are you using generative AI for your GIS tasks and workflows comment bellow! Found value? Follow Rene ParekhReposting means a lot. Thank you 🙏 #GenerativeAI #GIS #LocationIntelligence #Innovation #EnterpriseTech #NextTech #Esri

    NextTech: Generative AI Enhances GIS across the Enterprise esri.com
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  • GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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    "Imagine having the power to unlock hidden patterns in our world, revolutionize decision-making, and shape the future of industries. That's exactly what 'Mapping Tomorrow' offers you. In this groundbreaking book, we dive deep into the world of GIS, a technology that's transforming how we understand and interact with our environment.Are you struggling to make sense of complex spatial data? Feeling overwhelmed by the rapid advancements in geospatial technology? 'Mapping Tomorrow' is your comprehensive guide to mastering GIS and leveraging its potential across various fields.Here's what sets 'Mapping Tomorrow' apart:1. Practical insights: Learn from real-world case studies and applications in urban planning, environmental management, and business analytics.2. Future-focused approach: Discover emerging trends and technologies that will shape the GIS landscape in the coming years.3. Accessible expertise: Complex concepts are broken down into easy-to-understand explanations, suitable for both beginners and experienced professionals.But don't just take my word for it. Industry leaders are calling 'Mapping Tomorrow' a "must-read for anyone looking to harness the power of spatial data." One reader even said, "This book opened my eyes to possibilities I never knew existed in my field."By investing in 'Mapping Tomorrow,' you're not just buying a book – you're gaining a competitive edge in an increasingly data-driven world. Whether you're a business leader, researcher, or policy maker, this book will equip you with the knowledge and tools to make more informed decisions and drive innovation.Are you ready to map your path to success? Buy your copy of 'Mapping Tomorrow' today and start navigating the world of GIS with confidence. The future is spatial – don't get left behind."#mappingtomorrow #gis #geographicinformationaystem #spatialanalysis #gisanalysis #gispracticaltips

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  • Rene Parekh

    GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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    Greetings Connections! Lot of people were asking me if I were to start learning GIS again, what would my process be? To start with, I would begin by downloading QGIS, a free and open-source GIS software, and familiarize myself with its basic functions through online tutorials and documentation. To build a strong foundation, I'd take advantage of free resources like ESRI's web courses, particularly "GIS Basics" and "Getting Started with GIS". For a more structured approach, I'd consider enrolling in online courses such as the GIS Specialization offered by UC Davis on Coursera. I have done the certificate course and believe me it provides comprehensive coverage of GIS fundamentals. To gain practical experience, I'd work on projects using real-world data, focusing on essential tasks like creating visualizations, performing queries, and geocoding addresses, downloading free datasets from government geospatial servers. As I progress, I'd expand my skills by learning Python for GIS automation and data analysis, and explore spatial SQL for more advanced geospatial operations. To stay current with industry trends, I'd join online GIS communities, participate in forums, and attend webinars or conferences. Throughout this learning journey, I'd concentrate on understanding core GIS concepts such as spatial relationships, data types, and analysis techniques, as these form the backbone of GIS knowledge regardless of the specific software used. Learning AI is what I would also get into. Learning deep learning models and methods to train the model to perform several geoprocessing tasks is what you can look for, through AI and applying it in your daily GIS workflows. If you are someone who is struggling to start with on your GIS journey, follow these steps mentioned in the post! Found value? Repost it. Click Rene Parekh to follow. Mention your point of view and suggestions in the comments. Let’s explore the geospatial world together. I wish to understand your perspective, in which I can develop myself further in GIS. #startgis #gisfundamentals #gis #arcgis #qgis #sql #pythonforgis

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  • Rene Parekh

    GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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    Greetings connections, The global GIS market is anticipated to rise at a considerable rate during the forecast period between 2025 and 2031. In 2024, the market is growing at a steady pace and with the rise in adoption of different strategies by key players, the market is expected to rise over the next few years. A report has been published which elaborates the market size, market characteristics and market growth of the GIS market in Telecom Sector industry, cyber security, urban and town planning, defence and in many other different sectors. The report also conducted a PESTLE analysis of the industry, which throws light on analysis made on the political, economic, social, technological, logical and environmental factors. It has been done to study the main influencing factors and entry barriers of the industry. GIS in Australia have played a significant role in and will still keep playing a magnificent role which cannot be ignored. The current global geospatial market is expected to reach US$1.44 trillion, enabling a further US$10.2 trillion of economic activity. For source, you can visit: https://lnkd.in/d_eEpQUmFound value? Follow Rene Parekh Comment your thoughts on this and what do you think the geospatial industry will be till 2030 seeing the progress of it currently. Reposting means a lot. #gis #geographicinformationsystem #gisgrowth #geogrowth #geospatialrevolution

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  • Rene Parekh

    GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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    Chart the Course to a Better Future: Mapping Tomorrow Now Available as Audiobook!Calling all future-focused professionals!We're thrilled to announce the audiobook release of Mapping Tomorrow, a thought-provoking exploration of the tools and trends shaping our world.In this insightful listen, you'll gain valuable knowledge on:- The latest advancements in GIS and their impact.- How these technologies are revolutionizing various industries.- Practical applications for navigating an ever-changing landscape.Whether you're in urban planning, sustainability, or simply curious about the future, Mapping Tomorrow is the perfect audiobook to fuel your strategic thinking.Start listening today and:- Gain a competitive edge by understanding powerful mapping technologies.- Discover innovative solutions for the challenges of tomorrow.- Be empowered to map your own path to success.Click here to access the audiobook on Kuku FM: https://lnkd.in/dA-BK_4cFound value? Follow Rene Parekh #mappingtomorrow #audiobook #gis #geographicinformationsystem #remotesensong

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  • Rene Parekh

    GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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    Digital twins are virtual representations of physical objects, systems, or processes that accurately reflect their real-world counterparts. Here's a comprehensive explanation of digital twins:## What is a Digital Twin?A digital twin is a virtual model designed to accurately reflect a physical object or system. It uses real-time data from sensors on the physical object to create a digital replica that can be used for various purposes, including simulation, analysis, and optimization.Key characteristics of digital twins include:- Spanning the entire lifecycle of the physical object- Utilizing real-time data from sensors- Employing simulation, machine learning, and reasoning to aid decision-making- Providing a two-way flow of information between the physical and digital entities## How Digital Twins Work1. Data Collection: Smart sensors on the physical object collect real-time data about various aspects of its performance and environment.2. Data Processing: The collected data is transmitted to a processing system that applies it to the digital model.3. Simulation and Analysis: The digital model can then be used to run simulations, analyze performance issues, and generate potential improvements.4. Insight Generation: The ultimate goal is to gain valuable insights that can be applied to enhance the original physical entity.## Types of Digital TwinsThere are several types of digital twins, each focusing on different levels of complexity:1. Component Twins: Represent individual parts or components of a larger system.2. Asset Twins: Model how multiple components work together within a system.3. System Twins: Demonstrate how different assets interact within a broader system.4. Process Twins: Replicate entire processes, showing how various components, assets, and units work together.## Applications and BenefitsDigital twins offer numerous benefits across various industries:1. Improved Performance: Real-time insights allow for optimized equipment and facility performance.2. Predictive Maintenance: Early detection of potential issues enables proactive maintenance.3. Remote Monitoring: Facilities can be monitored and controlled from a distance.4. Accelerated Production: Virtual prototyping can speed up product development.5. Enhanced Decision-Making: Comprehensive data and simulations support better-informed decisions.Industries leveraging digital twin technology include manufacturing, healthcare, urban planning, and more.Found value? Follow Rene Parekh Reposting means a lotđŸ™đŸ»#digitaltwins #gis #geographicinformationsystem #typesofdigitaltwins #futureofdigitaltwins

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  • Rene Parekh

    GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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    See beyond pixel: Supercharge your object detection skills in ArcGIS Pro with TextSAM’s two-step deep learning process.The SAM model of Text in ArcGIS Pro uses a two-step strategy to detect objects in imagery. 1. Grounding DINO for Text-based Feature Extraction: Grounding DINO is the model used by Text SAM to detect objects that may have zero-shot availability. A text-based feature extraction can be leveraged with this tool. Grounding DINO then scans through this image data set while identifying possible regions which have objects that fit into the description which has been given via texts provided from a human being using keyboard typewriters (e.g., “car,” “airplane,” “solar panel”). This is an initial process which aims at filtering out what may not be needed.Here are some resources for the same: Esri Documentation on using Text SAM: https://lnkd.in/dHw5S_XVLearn ArcGIS tutorial on Text SAM: https://lnkd.in/dHw5S_XVEsri's Text SAM | Prompt, Detect, & Segment: https://lnkd.in/d6FNw4-HThis video provides a quick overview of TextSAM and demonstrates its basic functionality.Object detection and image segmentation in ArcGIS Pro with Text SAM and Deep Learning: https://lnkd.in/d5dXC7qZThis tutorial walks you through using TextSAM to detect specific objects in imagery.#geographicinformationsystem #textsam #deeplearning #arcgispro

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  • Rene Parekh

    GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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    Deep Learning in GIS: A Sneak Peek into the FutureGIS professionals, buckle up! Geospatial Analytics through Deep Learning What if you could pull new insights out of huge sets, start off the most tedious tasks and open up a new tier of precision with your workflow?To give a sneak peek, deep learning in GIS can look like the following:Effortlessly identify features found in satellite imagery (e.g. buildings, roads or vegetation).Project urban growth patterns of the future, with an extraordinary level of accuracy.Monitor real-time environmental changes in order to make proactive decisions.Intrigued? Dive deeper with this video of Deep Learning Object Detection Workflow in ArcGIS ProThis video explores how to leverage deep learning for object detection in ArcGIS Pro. Get ready to be amazed by the potential of this powerful technology!Deep learning is poised to transform GIS by the end of 2028 and beyond. Stay tuned for even more exciting advancements in the field!Don't forget to follow Rene ParekhReposting means a lot. Thank you #GIS #DeepLearning #GeospatialAI #FutureofGIS #BigData

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  • Rene Parekh

    GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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    Greetings connections! As GIS professionals, we're at the forefront of shaping the future of spatial analysis and mapping. One exciting trend that's gaining momentum is the integration of BIM and GIS.BIM is more than just a visual representation of buildings; it's a data-rich environment that can be combined with GIS to create smart, data-driven models of our cities and infrastructure.Imagine being able to:- Visualize and analyze building information in a geospatial context- Create immersive, interactive 3D models of cities and infrastructure- Streamline construction and urban planning processes with data-driven insightsThe potential applications are vast, from smart city initiatives to disaster response and recovery.Let's continue the conversation and explore the possibilities of BIM and GIS integration. Share your thoughts and experiences in the comments below! I am eager to know your experiences. Found value? Follow Rene Parekh #GIS #BIM #MappingTomorrow #SmartCities #SpatialAnalysis

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  • Rene Parekh

    GIS Enthusiast | Environmental Enthusiast | Author of Mapping Tomorrow: Navigating the World with Geographic Information System | ESRI YPN

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    Greetings LinkedIn Community, Heading from New South Wales to Gold Coast, Queensland. Looking for GIS professionals and recruiters to connect with in Gold Coast! Any connection requests, referral comments and recommendations are welcome. Thank you. #OpenToWork #GoldCoastGIS #Queensland #Australia #GISProfessionalsGoldCoast

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Rene Parekh on LinkedIn: #gis #geospatialpython #cartography (27)

Rene Parekh on LinkedIn: #gis #geospatialpython #cartography (28)

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