Ecoinformatics is the applied science of combining statistics and technical information with ecology or earth science. Applying ecoinformatics to environmental sciences can help researchers more accurately gauge changes in an ecosystem or predict trends. More technical processes generally improve the capability of leaders in ecological fields to deliver results to the public in an era where the validity and legitimacy of sciences are often questioned in the media.
One aspect of ecoinformatics involves knowledge representation (KR). Knowledge representation is sometimes referred to as a kind of artificial intelligence; others describe it as a set of ontological comments that help frame a given topic. Logic and semantics systems in KR can help to enhance the presentation of information in a given way. In ecoinformatics, an application of KR can involve recognizing and developing language that’s common to both humans and technologies in order to improve the process of moving data from a storage phase to a presentation environment. It can also be seen as the selection of useful and relevant terms or inferences.
Many applications of ecoinformatics relate to specific goals in particular industries. One prime example is the use of ecoinformatics in developing approaches to pest control in agriculture. Identifying more accurate statistical models for insect populations, or for predator and prey relationships elsewhere in the biological world, can help researchers to develop more positive outcomes in applied standards for different agricultural and industrial fields.