[GEO]DASHBOARD as a platform for custom-modules

[GEO]DASHBOARD as a platform for custom-modules

Table of contents

  • Overview for custom development
  • Using as a backend for custom modules and applications
  • Benefits and limitations
  • Overview of spatial analysis

Overview for custom development

[GEO]DASHBOARD is an open-source web-based platform that lets you visualize and analyze spatial data. I've been working with it for a while now, and I think it has a ton of potential.

The reason I'm reaching out to other collaborators we could make a great team and build some really cool projects using [GEO]DASHBOARD as our foundation. With some GIS expertise and web development skills, I think we could create some amazing custom modules and applications that would be tailored to our clients' needs.

Plus, since [GEO]DASHBOARD is open source, we wouldn't have to worry about licensing fees or restrictions. We could customize it to our heart's content and make it truly our own.

Using as a backend for custom modules and applications

[GEO]DASHBOARD is a powerful backend system built on WordPress that enables users to manage access levels and store geographic data in a PostGIS database. The platform provides a range of capabilities, including responding to POST requests and providing geojson output. This data can be requested as direct vector or table data via API requests or through Geoserver as Tiles.

One of the key advantages of the [GEO]DASHBOARD system is its flexibility, which makes it easy to create new maps with custom designs, layers, and modules. With a wide range of functions available, including those that are ready to respond to user needs, it is possible to create new modules using Javascript, jQuery, or React with ease.

This platform is particularly well-suited for users who need to work with spatial data and want a powerful, user-friendly solution that can be customized to meet their specific needs. By leveraging the [GEO]DASHBOARD system, businesses and organizations can unlock the power of spatial analysis and gain valuable insights into their data. Whether you need to create custom maps, visualize data, or perform advanced spatial analysis, [GEO]DASHBOARD is a powerful tool that can help you achieve your goals.

Create new custom module

To create a new module that uses [GEO]DASHBOARD as a backend, you can follow these steps:

  • Determine the requirements: Identify the needs and requirements of the new module, such as what data it needs to access, what functionality it needs to provide, and what design it should have.
  • Understand the [GEO]DASHBOARD API: Familiarize yourself with the [GEO]DASHBOARD API and how it can be used to access the data and functionality you need for the new module. Understand the endpoints and responses that the API provides and how to interact with them.
  • Choose a front-end framework: Choose a front-end framework such as JavaScript, jQuery or React to develop the new module. Make sure the chosen framework is compatible with the [GEO]DASHBOARD API.
  • Develop the module: Develop the module by leveraging the capabilities of the chosen front-end framework and integrating it with the [GEO]DASHBOARD API. Implement the functionality and design requirements identified in step one.
  • Test and debug: Test the new module to ensure that it functions as expected and debug any issues that arise during the testing process.
  • Integrate with [GEO]DASHBOARD: Once the module is fully tested and working, integrate it with the [GEO]DASHBOARD platform so that it is accessible to users through the platform.
  • By following these steps, you can create a new module that leverages the capabilities of the [GEO]DASHBOARD platform as a backend, while also providing the necessary functionality and design for your specific needs.

    To build a simple module to visualize a thematic map using [GEO]DASHBOARD as a backend, you can follow these steps:

  • Determine the data you want to display: Review the available layers and select the layer that contains the data you want to visualize.
  • Create a basic web page: Create an HTML page with a container to hold the map and any necessary controls. You can use a framework like Bootstrap to speed up the process.
  • Load the map: Load the map using a JavaScript library like Leaflet or OpenLayers. Initialize the map with the desired settings, including the starting location, zoom level, and available basemaps.
  • Load the data: Use AJAX to request the data from [GEO]DASHBOARD. You can request the data in GeoJSON format and use a library like jQuery to process the data.
  • Style the data: Use the data to create a thematic map. You can use a library like Leaflet.Choropleth or Mapbox GL to style the data.
  • Add interactivity: Add interactivity to the map, such as hover-over effects, popups, or legends.
  • Customize the module: Customize the module as needed. You can add additional controls or widgets, change the style of the map, or modify the behavior of the module.
  • Deploy the module: Deploy the module to a web server or integrate it into an existing website.

Overall, the process of building a simple module to visualize a thematic map using [GEO]DASHBOARD involves loading the map, loading the data, styling the data, adding interactivity, customizing the module, and deploying the module.

Benefits and limitations