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.