what is a population cluster

Many populations are clustered, with units in a population partitioned into a large number of groups (called clusters), of which only some can represented in the sample. For example, a population of people may be grouped into households, city blocks or geographic areas, while a population of employees may be grouped into employers.

Full Answer

What are population clusters?

What is a population cluster? Many populations are clustered , with units in a population partitioned into a large number of groups (called clusters ), of which only some can represented in the sample.

What are the four great clusters of world population?

Subsequently, question is, where are the four great clusters of world population? East Asia, South Asia, Europe and Eastern North America contain the four major concentrations of population. If we look closer at these four areas of concentrations, we can identify "clusters" of dense population.

What does clustered population mean?

Many populations are clustered, with units in a population partitioned into a large number of groups (called clusters), of which only some can represented in the sample. For example, a population of people may be grouped into households, city blocks or geographic areas, while a population of employees may be grouped into employers.

What is a population cluster?

What is a population cluster? Many populations are clustered, with units in a population partitioned into a large number of groups (called clusters), of which only some can represented in the sample. … The best linear unbiased predictor of a population total is derived for this model.

What are the four population clusters?

Two-thirds of the world's people live in four clusters-East Asia, South Asia, Europe, and Southeast Asia.

What are clusters in human geography?

A geographical cluster is a localized anomaly, usually an excess of something given the distribution or variation of something else. Often it is considered as an incidence rate that is unusual in that there is more of some variable than might be expected.

What are the three main population clusters?

The three largest population clusters in the world are the regions of eastern China, south Asia, and Europe. Southeast Asia also has large population clusters.

Where do population clusters occur?

Two-thirds of the world's population is located within three significant clusters: East Asia (China), South Asia (India and Indonesia, and Europe, with the majority in East and South Asia.

What is a cluster area?

noun. a place where a concentration of a particular phenomenon is found.

What is population distribution in geography?

The way in which people are spread across a given area is known as population distribution. Geographers study population distribution patterns at different scales: local, regional, national, and global. A busy junction in Cairo. Patterns of population distribution tend to be uneven.

Which is the world's largest population cluster?

East Asia1/4 of the world's people live in East Asia, the largest cluster of inhabitants. 5/6 of the people in this concentration live in the People's Republic of China, the world's most populous country. Chinese population is clustered near the Pacific Coast and in several fertile river valleys.

Where are population clusters located in Canada?

The strongest concentrations of population are located, firstly, along the axis extending from Québec city to Windsor, that is, along the St Lawrence River and lakes Ontario and Erie, and secondly, in Western Canada, in Vancouver and Victoria in British Columbia and the area extending from Calgary to Edmonton in ...

What is the world's largest population cluster quizlet?

South Asia has just become the worlds largest population cluster, overtaking East Asia in 2010. Large percent of the people remain farmers.

What is a clustered distribution?

A distinct grouping of neighbouring values in a distribution of a numerical variable that occur noticeably more often than values on each side of these neighbouring values.

What is an example of population distribution?

An example of population distribution is the fact that China's natural physical conditions resulted in uneven population distribution. There is a huge contrast in the number of people living in eastern China compared to the distribution in the western part of the country.

Why is population distribution important?

Data on distribution of population among the administrative areas are useful for several purposes. They generally form the basis for determining the electoral constituencies. They are useful in connection with social economic and administrative planning and provide basic data for making population projections.

What is cluster sampling?

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randoml...

What are the types of cluster sampling?

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the popula...

What are some advantages and disadvantages of cluster sampling?

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread ac...

What is cluster sampling?

In statistics, cluster sampling is a sampling method in which the entire population of the study is divided into externally, homogeneous but internally, heterogeneous groups called clusters. Essentially, each cluster is a mini-representation of the entire population. .

How are clusters chosen?

After identifying the clusters, certain clusters are chosen using simple random sampling while the others remain unrepresented in a study. After selecting the clusters, a researcher must choose the appropriate method to sample the elements from each selected group.

What is cluster method?

In stratified sampling, the population is divided into mutually exclusive groups that are externally heterogeneous but internally homogeneous. For example, in stratified sampling, a researcher may divide the population into two groups: males vs. females.

Is cluster sampling cheaper than random sampling?

Therefore, it is generally cheaper than simple random or stratified sampling as it requires fewer administrative and travel expenses.

What is cluster sampling?

Cluster sampling is defined as a sampling method where the researcher creates multiple clusters of people from a population where they are indicative of homogeneous characteristics and have an equal chance of being a part of the sample.

What is a stage in a cluster?

A stage is considered to be the step taken to get to the desired sample. We can divide this technique into single-stage, two-stage, and multiple stages. Single-stage cluster sampling: . As the name suggests, sampling is done just once.

What is the first way to sample a cluster?

The first way is based on the number of stages followed to obtain the cluster sample, and the second way is the representation of the groups in the entire cluster. In most cases, sampling by clusters happens over multiple stages. A stage is considered to be the step taken to get to the desired sample.

Cluster Sampling Example

For example, imagine we are studying rural communities in a state. Simple random sampling requires us to travel to all these communities just to get a few subjects from each place, which could be cost and time prohibitive. However, we can divide rural communities into similar groups.

Benefits of Cluster Sampling

Many surveys and studies use this method because it provides crucial benefits.

Disadvantages of Cluster Sampling

Cluster sampling can increase the complexity of the design. Investigators need to pay attention to how well the groups approximate the overall population and how homogeneous they are to each other. Both factors can affect their sampling plan.

Single-Stage vs. Two-Stage Cluster Sampling

After researchers identify their clusters, they need to decide which approach they’ll use, single-stage or two-stage sampling.

Cluster Sampling vs. Stratified Sampling

Both cluster and stratified sampling have the researchers divide the population into subgroups, and both are probability sampling methods that aim to obtain a representative sample. However, beyond those similarities, the goals and techniques are strikingly different. The table highlights the differences between the two sampling methods.

Reference

Sampling in Developmental Science: Situations, Shortcomings, Solutions, and Standards (nih.gov)

What is cluster sampling?

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample. The clusters should ideally each be mini-representations of the population as a whole.

What are the different types of cluster sampling?

There are three types of cluster sampling: single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample. In single-stage sampling, you collect data from every unit within the selected clusters.

What is systematic sampling?

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling.

What is probability sampling?

Probability sampling means that every member of the target population has a known chance of being included in the sample. Probability sampling methods include simple random sampling, systematic sampling, stratified sampling, and cluster sampling.

What is a sample in research?

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

What is random selection?

Random selection, or random sampling, is a way of selecting members of a population for your study’s sample. In contrast, random assignment is a way of sorting the sample into control and experimental groups.

What is an example of random sampling?

The American Community Survey is an example of simple random sampling. In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

Africa

Americas

Arctic

Asia

• Central Asia
  Central Asia contains the following Population Clusters: 1. Mongolia 2. Southern Siberia
• Central Siberia
  Central Siberia contains the following Population Clusters: 1. Central & Eastern Siberia 2. Taimyr Peninsula 3. Yakut

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Europe

Middle East & North Africa

Oceanic