Final answer:
The issues forecasters face are related to data accuracy, data collection methods, and technology changes affecting data relevance. The impact of these issues spans across political, environmental, agricultural, and economic forecasting. Advanced data management and technology adaptation are critical for addressing these challenges.
Step-by-step explanation:
The problems forecasters had previously and are currently having with data are Lack of accuracy and reliability in historical data, Insufficient data collection methods, and Rapid changes in technology affecting data relevance.
These issues have been prevalent in various fields including political science, environmental science, agriculture, and economic data collection.
For example, political scientists require accurate and comprehensive data to make predictions, while environmental scientists rely on past and current data on glacier dimensions, water levels, and tree ring analysis for climate change predictions. In agriculture, decisions that were once based on sources like the Farmer's Almanac are now driven by advanced data streams such as GPS, historical rainfall patterns, and yield data to maximize production efficiently.
However, as technology advances, new challenges arise such as designing web surveys compatible with multiple devices, dealing with multiple responses from the same individual due to multiple email accounts in polling, and recognizing changes in economic indicators amidst fluctuating data points. Solving these problems is crucial for providing accurate data which is essential for various applications.
Therefore, the correct answer to the question is D. All of the above are correct.