Question

In: Biology

What are the Pros and cons of projecting models to different times and/or places is SDM?

What are the Pros and cons of projecting models to different times and/or places is SDM?

Solutions

Expert Solution

SDM is an object-oriented, reproducible and extensible, platform for species distribution modelling. It provides a standardized and unified structure for handling species distributions data for project modelling techniques. The object-oriented design of software is used by scientists which can modify existing methods, extend the framework which is developed for new methods or modelling procedures, and share them to be reproduced by other scientists. sdm plays major role for spatial and temporal data of single or multiple species and uses high performance computing solutions to speed up modelling and simulations.

Advantages:

  • Reduced time and costs: This improves the quality of the specifications and requirements provided to customers. With this SDM model customers can anticipate higher costs, needed changes and potential project hurdles, and most importantly, potential end result disasters.This will ensure product quality and savings for years to come.
  • Improved and increased user involvement: Most customer want to feel like they are involved with the intricate details of their project. This project modelling requires user involvement and enables them to see and interact with a working model of their project. With this model, customers can give their feedback at the time, request project changes and alter model specifications.

Disadvantages:

There is no project development model is perfect and they find some limitations though;

  • Insufficient analysis: This will focus on a limited prototype that can distract developers from properly analyzing the complete project. The incomplete specifications or the conversion of limited prototypes into poorly engineered and developed final projects that are hard to maintain.
  • User confusion: The worst problem of this model is customers mistaking it for the finished project. Customers seeing a rough prototype and they do not understand it merely needs to be finished or polished. Customers can wrongly aware of prototype to accurately model the performance of the final system.

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