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Why was a unified effort by scientists policy makers and concerned citizens necessary to achieve the environmental cleanup of Lake Washington?
A unified effort was necessary because it required collaboration and coordination among different groups with unique expertise. Scientists could provide data and research on the environmental issues, policymakers could enact regulations and allocate resources, and concerned citizens could advocate for action and participate in cleanup efforts. By working together, they could combine their strengths to address the environmental challenges facing Lake Washington effectively.
Who would use a rain gauge?
A rain gauge is used by meteorologists, farmers, gardeners, and homeowners to measure the amount of rainfall in a specific area. This data helps in planning irrigation, flood forecasting, and monitoring of weather patterns.
What is the information gathered from observations called?
The information gathered from observations is called data. Data can be qualitative (descriptive) or quantitative (measurable), and it forms the basis for analysis and drawing conclusions.
What is the disadvantage of olap?
OLAP, and its reliance on the data warehousing environment, are two of the most significant new technology areas. Moreover, the use of relational design and relational database technology are not feasible implementations to support OLAP design because of the complexity of the queries. The business problem is that OLAP queries are not real-time queries because of the refresh cycle of data into the OLAP data repository. Conventional designs call for integration of data into an operational data store where it can be cleansed, transformed, extracted, & then loaded into the OLAP data repository. This is accomplished through the use of (ETL) tools. The ETL process is generally complicated because data must be integrated and transformed for loading into the nonnormalized relational schema usually associated with OLAP environments. As such, the process can be complicated and time consuming, and with large amounts of data may only occur at monthly or quarterly time intervals. This creates the problem of not having real-time data in the OLAP repository. Real-time data exists in the OLTP environment where the time horizon of data within the OLTP environment is much shorter because performance decreases can occur with growing amounts of data. This is opposite of the nature and goals of the OLAP environment where data is aggregated and the time horizon of data grows to some large amount as determined by the information life cycle policy of the organization. The main problems you have to face using OLAP as a source is that OLAP engines, in general, are designed to return small result sets from highly aggregated data, whereas data mining, in general, is designed to perform operations on large sets of raw (or preprocessed) data. The implementation of OLAP in Analysis Services, requires that all of the result set be materialized in memory before returning to the client. This generally isn't a big deal for typical OLAP queries, but if you are, for instance, trying to mine all of your transaction data for the past 10 years, you will run into difficulties, in short the data gathered may not be (relatively) recent enough to qualify as real-time data for business intelligence purposes.
Advantages and disadvantages of remote sensing using landsat TM?
Advantages: Landsat TM provides multispectral data that can be used for various applications such as monitoring land use changes, assessing vegetation health, and detecting natural disasters. The data is freely available, allowing for wide accessibility and use by researchers and decision-makers worldwide. Disadvantages: Some limitations of Landsat TM include its lower spatial resolution compared to more advanced sensors, which may limit the detail available in the imagery. Additionally, the satellite's revisit frequency may be insufficient for real-time monitoring of dynamic processes.
ENVIS does not generate on which data?
ENVIS (Environmental Information System) does not generate its own data. Instead, it collates, stores, and disseminates environmental information from various sources to help decision-makers and stakeholders access relevant data for informed decision-making and policy formulation.
Data flow diagram of insurance policy?
data flow diagram for creating a insurance policy
Where can someone find Facebook's data protection policy?
Someone can find Facebook's data protection policy on the About section of the official Facebook website. There one can find details of their 'Data Use Policy'.
Which policy defines the sensitivity of a company's data?
a informaton policy
What do decision makers hope to gain from analyzing economic data and forecasts?
By analyzing economic data and forecasts, decision makers should be able to recognize and identify potential opportunities and threats linked to economic changes and developments.
What is the increase per year of the supply of handguns?
Data that could answer the question is guarded by the makers.
How data policy affects ethical judgment?
None, Ethics is not reliant on policy but policy may be reliant on ethics
What are a few policy?
data sharing policies
What is the penalties in case of wrong data communicated about your company to the insurance policy?
What is the penalties in case of wrong data communicated about your company to the insurance company that made the policy?
Is there a website where you can enter a gun serial number to find out information?
Many makers have sn data on line.
Where can you type in a gun serial number and get more information?
Many makers have sn data on their web sites.
Where on the internet can i check a guns history for free?
Many makers have a model history and sn data on their website.
