Challenge submission: [ADD PROJECT TITLE]

[GhaderianDev]

Rbanism Scalable GIS Challenge submission

The submission consists of the following steps:

1. Fill in the project information in the form below;
2. Submit this issue by clicking on Submit new issue without deleting the text below;
3. Add your workflow diagram, making sure that its content (e.g., text, visual elements) is legible;
4. Write down the self-assessment in max. 300 words;
5. Submit the issue. Note that you can continue editing your submission on GitHub, and it will not be reviewed until you have completed the following step;
6. Add another comment letting @cforgaci know that the submission is ready for assessment.

Project information

• Project title: "Transformations in Green Infrastructures: Analyzing Spatial and Temporal Dynamics in the Yazd Plain"Addressing Scalability Challenges in Analyzing Green Infrastructures

• Author(s): Massoud Ghaderian

• Type of work: PhD thesis chapter

• Status: work in progress

Research question:

How have the spatial distribution and temporal dynamics of green infrastructures in the Yazd Plain changed over the past 50 years, and what factors have contributed to these changes based on the integrated geo-computing framework?

Scalability challenge:

Scaling up the analysis of green infrastructures from a single city to multiple cities across a region, such as a plain, involves dealing with large datasets and performing complex analyses that cannot be managed by a local computer and graphical user interface. As the research expands to include multiple cities within a region or country, the volume of spatial data significantly increases, posing challenges for analysis and processing using traditional methods. Analyzing multiple cities requires handling extensive datasets and conducting intricate spatial computations, which can surpass the capabilities of a local computer and graphical user interface. Moreover, the dynamic nature of green infrastructures adds further complexity. Gardens and agricultural lands exhibit rapid changes in size during dry or rainy years, based on the availability of water. These areas are constantly influenced by various factors, both human and non-human, and are subject to continuous transformation due to resource fluctuations. Considering the interplay of all these factors, the analysis and management of green infrastructures require advanced computational techniques, such as distributed computing, cloud-based solutions, and advanced spatial analysis algorithms. These approaches enable researchers and planners to handle large-scale datasets and perform complex analyses across multiple cities, facilitating a comprehensive understanding of the impact and dynamics of green infrastructures at a regional or national level.

Workflow diagram:

Narrative Self-Assessment (max. 300 words):

In the study of green infrastructures in the Yazd Plain, significant decisions were made to tackle the associated challenges and ensure the relevance of the research. A comprehensive geo-computing framework was developed to collect, analyze, and share spatial data related to green infrastructures. This approach aimed to address the lack of understanding and support conservation efforts by enabling effective geographical problem-solving.

To achieve the research sub-objectives, key decisions were made. Collecting and sharing large-scale raster data played a crucial role in addressing geographical issues and capturing the spatial characteristics of green infrastructures. Additionally, a geospatial-historical information system was designed to integrate and analyze data specific to blue-green infrastructures. By considering their historical evolution over 50 years, insights into development and current state were gained, enhancing understanding.

Creating an open-source historical big data GIS platform was another significant decision, promoting collaboration and data access among stakeholders. This platform aimed to improve knowledge and management of green infrastructures by addressing transparency and accessibility limitations identified in the research.

Data accessibility was emphasized through the provision of user-friendly tools like Google Earth and non-scalable historical images. These tools enhanced understanding and supported decision-making processes for various stakeholders.

To ensure data consistency and interoperability, a unified and standardized database was established. This decision aimed to overcome integration challenges among organizations and provide a reliable foundation for future analyses. By harmonizing data from different sources, collaboration among stakeholders was fostered.

Overall, the decisions made regarding large-scale datasets and analyses were carefully considered to improve knowledge and management of green infrastructures in the Yazd Plain. The approaches chosen addressed identified deficiencies and challenges while considering the implications of specific data and analyses. With the comprehensive geo-computing framework and collaborative platforms, this research is expected to contribute to conservation efforts and protect the green heritage of desert cities in the region.

[GhaderianDev]

Dear @cforgaci Hi . the submission is ready for assessment.

[cforgaci]

Thank you @GhaderianDev for your submission! Please note that we extended the submission over the summer to 22 August, so feel free to update your entry until then.

[cforgaci]

@GhaderianDev, thanks again for your submission. Can you please email me at C.Forgaci@tudelft.nl, so that I can communicate with you about the next step via email?