Видео

I will make a video

@@GISsolutions thanku so much sir ...i I'll be waiting😇

Sir when u will upload the video on crop yield prediction using machine learning

@@GISsolutions I'm really waiting for the vidio...please sir will u make it.??

Watch the Video

Use landsat 5

Thank u sir

did u used? haven't said anything?

Edit pg_hba.conf to allow connections from your GeoServer IP with the correct authentication method (e.g., md5). Reload PostgreSQL configuration. Verify and update connection parameters in GeoServer. Ensure you are using a compatible PostgreSQL JDBC driver.

@@GISsolutions how we can ? Iam beginner sir

@@GISsolutions sir plz can you share me your email ?

@@muhmmmadsulaiman946 dnot worry its so easy just try it

@@GISsolutions how i will try can you make a vedio about it

To install an older version of QGIS, visit the QGIS download archive at [QGIS.org](qgis.org/en/site/forusers/download.html) and select the desired version compatible with your operating system. Download the installer (e.g., `.exe` for Windows, `.dmg` for macOS) and run it to install QGIS. After installation, open QGIS, go to "Plugins" > "Manage and Install Plugins," and search for the Moluces plugin to install it. Ensure you have the necessary dependencies and be aware that older versions might have compatibility issues with newer systems.

@@GISsolutions is there any other tools PR PLUGGING in new version of QGIS so that we can find the future prediction. if yes please help me

@@mdsajidnitp Yes, QGIS offers several tools and plugins that can be used for predictive modeling and future prediction analyses. Some of these tools leverage advanced spatial statistics and machine learning algorithms. Here are a few plugins and tools you can consider: 1. TimeManager Purpose: Visualize and analyze temporal data within QGIS. Use Case: Ideal for studying temporal changes and trends in your data, which is crucial for making future predictions based on past trends. 2. Processing Modeler Purpose: Create complex workflows using various QGIS algorithms. Use Case: Combine different tools and algorithms to build predictive models. 3. SAGA GIS Tools Purpose: Offers a wide range of geostatistical tools and interpolation methods. Use Case: Perform spatial analysis and predictive modeling using various geostatistical methods. 4. GRASS GIS Tools Purpose: Advanced spatial analysis and modelling tools. Use Case: Use GRASS GIS modules for predictive modeling, such as r.regression.multi (multivariate regression) and r.series (time series analysis). 5. Semi-Automatic Classification Plugin (SCP) Purpose: Supervised classification and remote sensing. Use Case: Classify satellite imagery and predict land use changes over time. 6. RandomForest Purpose: Machine learning-based classification and regression. Use Case: Use RandomForest for predictive modelling based on spatial data. 7. GeoApt Purpose: Predictive modeling and spatial statistics. Use Case: Develop spatial predictive models using various statistical methods. 8. QGIS3-Machine-Learning Plugin Purpose: Integrates machine learning algorithms within QGIS. Use Case: Use machine learning for predictive analysis directly within QGIS.

Hello! MOLUSCE 4 has been released, now with support for the latest versions of QGIS

its free of any auth token

Yeah its Free to use

@@GISsolutionsthank you so much it worked! Is there a way to adapt the code for a specific city?

@@Norah19 Upload the shp and use clip function

Urban simulation modeling in RStudio involves several steps. First, set up your environment by installing R and RStudio, then install necessary packages like `sf`, `tidyverse`, `spatstat`, and `raster`. Load your spatial data using the `sf` package for vector data and the `raster` package for raster data. Preprocess your data with `dplyr` from the `tidyverse` to clean and manipulate it. Define parameters and functions for your simulation, such as population growth, and iteratively apply these functions to model urban dynamics over time. Visualize the results using `ggplot2` and `tmap`, and analyze the outputs with various statistical and spatial analysis methods. For instance, you can read a shapefile, simulate population growth over ten years, and visualize the changes with `ggplot2` and `tmap`. This process provides a comprehensive approach to urban simulation modeling using RStudio.

@@GISsolutions thank you for your guidance. If You have any R scripts or Case studies, can you give it? I'm an urban planning undergraduate from sri lanka. It is only for educational purpose

Thanks Dude !

Add Grids and Graticules: Go to the "Layout View" by clicking on the "View" menu and selecting "Layout View." Open the "Data Frame Properties" by right-clicking on the data frame in the "Table of Contents" and selecting "Properties." Navigate to the "Grids" tab and click on the "New Grid" button. Choose Grid Type: Select the type of grid you want to create. Common options include: Graticule (latitude/longitude) Measured Grid (e.g., UTM) Reference Grid Configure Grid Properties: Follow the wizard to configure the properties of the grid. You can customize the intervals, labels, and appearance. Set the intervals for the grid lines according to your needs (e.g., every 1 degree, every 10 km, etc.). Customize the labels if necessary to make the grid lines easily readable on your map

its temporal analysis is possible ruclips.net/video/FVrQJ7GvFxg/видео.htmlsi=_xknoVY4YzVTVpcB

@@GISsolutions thank you

In the description

💤

correlation

In the description

i will make a video on it as soon as possible

Email is in profile contact

discussed in previous videos

Yes

Yes, correct

Kappa method

description

email 📧

description of video

description

Email me

drop your email here

absolutely Yes !

​@@GISsolutions THANK YOU FOR ANSWERING. COULD YOU PROVIDE ME WITH AN EMAIL ADDRESS? I LIVE IN PERU AND I AM DOING A RESEARCH TO GET MY UNIVERSITY DEGREE AND I AM LOOKING FOR SOMEONE WHO CAN GUIDE ME TO MAKE PREDICTIVE MAPS.

absolutely Yes

Check out my channel you got a video on this topic

drop your email here

Read the description of this video.

Email 📧

it’s very esay

depends on purpose of analysis & on which data you applied IDW

may be it is due to unequal cell size of raster, make sure your raster will have same cell size

Your issue solved or not... Same happens to me right now