Temporal – Golden Gallery

Chadha Diagram

Sheena Skinner — Wed, 27 Aug 2025 23:25:58 +0000

A Chadha Diagram is a hydrogeochemical tool used to classify groundwater facies and interpret dominant geochemical processes. Instead of plotting individual ions directly, the diagram transforms them into two composite indices: the difference between alkaline earths (Ca²⁺ + Mg²⁺) and alkali metals (Na⁺ + K⁺) on the x-axis, and the difference between weak acidic anions (HCO₃⁻) and strong acidic anions (Cl⁻ + SO₄²⁻) on the y-axis.

Each quadrant represents a distinct hydrochemical facies:

Ca–Mg–HCO₃ facies often linked to recharge and active rock weathering
Na–HCO₃ facies commonly formed by ion exchange
Na–Cl facies associated with salinity intrusion, evaporation, or contamination
Ca–Mg–SO₄/Cl facies indicating gypsum/anhydrite dissolution or mixing with sulfate- and chloride-rich sources

In this example, samples from 2015, 2018, and 2021 are plotted with different symbols and colors, making it easy to track how groundwater chemistry has shifted over time. By comparing the position of samples across years, users can detect changes due to processes like ion exchange, mineral dissolution, or mixing with different water sources.

The data for this template can be found below which you can download and adjust using your own data:

Chadha-Diagram.xlsx

Industry Focus: Environmental Science, Hydrogeochemistry, Hydrology, Water Resources, Water Management
Graph Features: Class, Scatter

Annual Wind Study

Sheena Skinner — Wed, 27 Aug 2025 23:43:17 +0000

Wind Rose Chart provides a visual summary of wind speed and direction at a given location over a defined period of record. Each spoke shows the frequency with which the wind blew from that direction, while bar color represents different wind speed categories.

This template includes a wind rose plot with customizable metadata fields (station name, ID, coordinates, observation counts, and average wind speed), along with a placeholder for an optional site image. It offers a professional, ready-to-use format that makes it easy to highlight prevailing wind patterns and their intensity.

Wind Rose Charts are widely applied in:

Meteorology & Climatology – analyzing prevailing wind regimes
Environmental Science – studying pollutant or dust dispersion
Aviation & Transportation – assessing site safety and planning operations
Renewable Energy – evaluating sites for wind power development

The data for this template can be found below which you can download and adjust using your own data:

Annual-Wind-Study.xlsx

Industry Focus: Aviation, Civil Engineering, Climate Science (Climatology), Environmental Science, Meteorology, Renewable Energy
Graph Features: Polar, Rose, Wind

Monthly Wind Speed and Direction

Sheena Skinner — Thu, 28 Aug 2025 21:48:58 +0000

A Wind Rose Chart provides a visual summary of wind speed and direction at a single location over a defined period of record. Each spoke shows the frequency of winds from that direction, while color represents wind speed categories.

In this template, monthly wind roses are presented side by side to highlight seasonal variations in wind regimes. This format makes it easy to compare prevailing wind directions and speed distributions across the year, providing a clear picture of seasonal climate and site conditions.

Pro Tip – customize the colors for all the plots at once:

Hold CTRL on the keyboard and select all the plots titled “Speed (mph)” in the Object Manager.
In the Property Manager, on the Plot tab, click Speed (color) bins | Edit…
In the Wind Speed Bins dialog, double click any fill to change it.
Click Apply to see changes and OK to accept.

The data for this template can be found below which you can download and adjust using your own data:

Monthly-Wind-Speed-and-Direction.xlsx

Industry Focus: Aviation, Climate Sciences (Climatology), Civil Engineering, Environmental Science, Meteorology, Renewable Energy
Graph Features: Polar, Rose, Wind

Hydrograph

Boris Likharev — Wed, 05 Mar 2025 08:04:23 +0000

This hydrograph shows how rainfall (top bars) and stream discharge (bottom area) changed over the course of the Boscastle flood event in 2004. The combination of both datasets on one chart makes it easy to see how rainfall influenced streamflow over time, helping identify patterns like peak discharge and runoff delay.

This format is commonly used in hydrology, but it’s also great for any situation where one event triggers a response over time – like traffic flow after a concert, or energy use during a heatwave.

The data for this template can be found below which you can download and adjust using your own data:

Hydrograph.xlsx

Industry Focus: Civil Engineering, Hydrogeology, Hydrology, Water Management
Graph Features: Bar, Line

Glacial Extents Over Time

Ruth Rodman — Fri, 21 Mar 2025 16:23:49 +0000

Polar line & scatter plot displaying changes in radial extent over time, using multiple datasets to show progression, stability, and variation. This visualization is used to track trends in phenomena that expand or contract in a circular pattern, such as environmental shifts, structural deformations, or movement patterns. The combination of lines and scatter points helps highlight key changes, while color gradients can be used to indicate risk zones, density, or intensity variations. Common applications include glacial retreat analysis, atmospheric studies, wave propagation, and mechanical stress testing.

The data for this template can be found below which you can download and adjust using your own data:

Glacial-Extents-Over-Time.xlsx

Industry Focus: Aerospace, Climate Science, Engineering, Geoscience, Meteorology, Oceanography, Physics
Graph Features: Colormap, Polar

Contaminants in Surface Water

Ruth Rodman — Wed, 09 Apr 2025 17:53:04 +0000

This template is ideal for visualizing how values change over time across multiple locations or categories. Line and symbol plots make it easy to compare trends between sites, and the optional threshold line highlights exceedances of a defined limit or guideline.

Best suited for environmental monitoring, compliance reporting, or any application where it’s important to track and compare temporal changes across groups.

The data for this template can be found below which you can download and adjust using your own data:

Contaminants in Surface Water Data.xlsx

Industry Focus: Agriculture, Chemistry, Manufacturing, Mining, Oil and Gas, Water Management, Water Treatment
Graph Features: Line

Dow Jones Industrial Average

Ruth Rodman — Thu, 13 Mar 2025 23:21:36 +0000

A candlestick & volume bar chart displaying financial market trends using candlestick bars to represent open, high, low, and close prices over time. The chart includes a moving average line to smooth fluctuations and a bar graph indicating daily trading volume. This visualization is used for identifying price patterns, volatility, and market trends. Common in stock market analysis, technical trading, and financial forecasting, it provides insights into market momentum, bullish and bearish trends, and support/resistance levels.

The data for this template can be found below which you can download and adjust using your own data:

Dow-Jones-Industrial-Average.xlsx

Industry Focus: Asset Management, Banking, Economics, Finance, Financial Forecasting, Investment, Stock Market Analysis, Trading
Graph Features: Bar, Candlestick, Fit

Travel Trends

Boris Likharev — Wed, 05 Mar 2025 07:57:05 +0000

This graph is a standout example of clear, engaging data visualization designed for decision-making. Simple and uncluttered, it uses green to spotlight Europe as the leader in booking recovery post-pandemic. The upward trend since 2020’s dip is immediately clear, with supporting text noting the return to pre-pandemic levels. A question at the bottom—“Ideas to lock in 2023 booking projections?”—also adds an interactive touch, prompting stakeholders to consider next steps. Overall, this graph tells a story about the travel industry’s recovery, while simultaneously highlighting Europe’s growth and inspiring action.

The data for this template can be found below which you can download and adjust using your own data:

Travel-Trends.xlsx

Industry Focus: Finance, Manufacturing, Marketing, Retail
Graph Features: Bar, Line

Annual Mean Temperature

Boris Likharev — Tue, 18 Feb 2025 06:31:54 +0000

This chart visualizes annual global temperature anomalies, showing how each year’s mean air temperature deviates from a long-term average (baseline). Positive bars indicate warmer-than-average years, while negative bars represent cooler-than-average years. This kind of chart is commonly used in climate science to illustrate global warming trends over time, and is useful when you want to show the trend in changes around a particular value (in this case zero).

The data for this template can be found below which you can download and adjust using your own data:

Annual-Mean-Temperature.xlsx

Industry Focus: Agriculture, Climate Science, Education, Environmental Science
Graph Features: Bar

Price Changes

Boris Likharev — Tue, 18 Feb 2025 06:34:26 +0000

This is a Line Plot with Error Bars and a confidence band, used to compare a state’s average price over time (blue line) to national trends (gray dashed line with shaded area). The vertical error bars represent uncertainty or variation within the state data each year. This visualization clearly highlights both temporal trends and relative performance against a national benchmark.

This type of plot is ideal for comparing regional trends against broader national or international patterns — commonly used in real estate, economic analysis, policy research, and market studies. This chart shows a trend in price over time while also including a comparison to a price difference of a greater whole.

The data for this template can be found below which you can download and adjust using your own data:

Price-Changes.xlsx

Industry Focus: Agriculture
Graph Features: Error Bars, Line