Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Conventional spatial queries are usually meaningless in dynamic environments since their results may be invalidated as soon as the query or data objects move.   formulate two novel query types,  time parameterized  and  continuous queries , applicable in such environments. A time-parameterized query retrieves the  actual result  at the time when the query is issued, the  expiry time  of the result given the current motion of the query and database objects, and the  change  that causes the expiration. A continuous query retrieves tuples of the form  result ,  interval >, where each  result  is accompanied by a future  interval , during which it is valid.  study time-parameterized and continuous versions of the most common spatial queries (i.e., window queries, nearest neighbors, spatial joins), proposing efficient processing algorithms and accurate cost models.
['Yufei Tao', 'Dimitris Papadias']
I am writing a research paper on a idea Spatial queries in dynamic environments
[{"from": "human", "value": "I am writing a research paper on a idea Spatial queries in dynamic environments"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Conventional spatial queries are usually meaningless in dynamic environments since their results may be invalidated as soon as the query or data objects move.   formulate two novel query types,  time parameterized  and  continuous queries , applicable in such environments. A time-parameterized query retrieves the  actual result  at the time when the query is issued, the  expiry time  of the result given the current motion of the query and database objects, and the  change  that causes the expiration. A continuous query retrieves tuples of the form  result ,  interval >, where each  result  is accompanied by a future  interval , during which it is valid.  study time-parameterized and continuous versions of the most common spatial queries (i.e., window queries, nearest neighbors, spatial joins), proposing efficient processing algorithms and accurate cost models."}]