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Highest point Maximum elevation Lowest point Minimum elevation Elevation span Northern Hemisphere: Mount Everest, [1] China and Nepal: 8848 m 29,029 ft Dead Sea, [2] Israel, Jordan, and Palestine: −428 m −1,404 ft: 9,276 m 30,433 ft Southern Hemisphere: Aconcagua, Argentina: 6960 m 22,835 ft Laguna del Carbón, Argentina: −105 m −344 ft ...
Maximum elevation figure (MEF) is a type of visual flight rule (VFR) information that indicates the elevation of the highest geographical feature within a GEOREF quadrangle area. It is of interest to pilots, who want to be aware of the highest mountain peaks and tall towers nearby, so that they can fly above them to avoid controlled flight into ...
Within its 2.02 km 2 territory, there is a difference of 140 m between its highest and lowest points, giving a ratio of 69 m for every km 2. In Australia 's 7,686,850 square kilometres (2,967,910 sq mi) area, there is only a 2,244 metres (7,362 ft) difference between the highest and lowest points, which gives a ratio of 292 micrometres (0.0115 ...
Peaks with high prominence tend to be the highest points around and are likely to have extraordinary views. Only summits with a sufficient degree of prominence are regarded as independent mountains. For example, the world's second-highest mountain is K2 (height 8,611 m, prominence 4,017 m).
Tide tables give the height of the tide above a chart datum making it feasible to calculate the depth of water at a given point and at a given time by adding the charted depth to the height of the tide. One may calculate whether an area that dries is under water by subtracting the drying height from the [given] height calculated from the tide ...
The value of the function at a maximum point is called the maximum value of the function, denoted (()), and the value of the function at a minimum point is called the minimum value of the function, (denoted (()) for clarity). Symbolically, this can be written as follows:
Categorical data is a grouping of data into discrete groups, such as months of the year, age group, shoe sizes, and animals. These categories are usually qualitative. In a column (vertical) bar chart, categories appear along the horizontal axis and the height of the bar corresponds to the value of each category.
The answer is that when the table has a row without containing any rowspan=1 cell, this row is "compressed" upwards and disappears. Solution : divide one of the tall cells so that the row gets one rowspan=1 cell (and don't mind the eventual loss of text-centering).