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Gspatial Historical Pollen Data

GSpatial.ai
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Request Data Sample
Coverage
249
Countries
History
7
years

Description

Get bulk historical micro-pollen datasets from the Gspatial platform with one click. The pollen data comes with different types of pollen such as tree, grass, weed pollen, and various species across other regions on the planet.
More than 1 in 5 people worldwide experience intense irritability and sneezing due to pollen. Allergy sufferers need to undergo special treatment during pollen seasons to prevent themselves from experiencing significant episodes. Hence, the Gspatial historical pollen dataset was built to simplify the extremely tough pollen tracking process and better manage future pollen seasons with historical data. The historical pollen weather datasets are accurate, hyperlocal, and provide insights that determine the pollen count in relation to the seasonality of the area. Gspatial’s historical pollen count also offers data on different types of pollen with the help of our proprietary algorithm. Some of the features of Gspatial historical pollen data are: Historical pollen is available for all countries in Asia, Europe, North America, Australia, and New Zealand. The data can be availed via a search for Geographical coordinates Location names Historical Pollen data is available for 30+ years. The types of pollen list include a variety of trees, grass, and weed pollen. Risk evaluation of pollen in comparison to pollen count. The pollen risk is classified into low, moderate, high, and very high.

Geography

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

7 years of historical data

Pricing

Free sample available
GSpatial.ai has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Use Cases

Categories

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Frequently asked questions

What is Gspatial Historical Pollen Data?

Get bulk historical micro-pollen datasets from the Gspatial platform with one click. The pollen data comes with different types of pollen such as tree, grass, weed pollen, and various species across other regions on the planet.

What is Gspatial Historical Pollen Data used for?

This product has 3 key use cases. GSpatial.ai recommends using the data for Market Research, Product Research, and Risk Modelling. Global businesses and organizations buy Pollen Data from GSpatial.ai to fuel their analytics and enrichment.

Who can use Gspatial Historical Pollen Data?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Pollen Data. Get in touch with GSpatial.ai to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Gspatial Historical Pollen Data go?

This Data Platform has 7 years of historical coverage.

Which countries does Gspatial Historical Pollen Data cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. GSpatial.ai is headquartered in India.

How much does Gspatial Historical Pollen Data cost?

Pricing information for Gspatial Historical Pollen Data is available by getting in contact with GSpatial.ai. Connect with GSpatial.ai to get a quote and arrange custom pricing models based on your data requirements.

What is the data quality of Gspatial Historical Pollen Data?

You can compare and assess the data quality of GSpatial.ai using Datarade’s data marketplace. GSpatial.ai appears on selected Datarade top lists ranking the best data providers, including Best +8 Historical Weather APIs to use in 2023 and Best 6 Air Quality APIs to use in 2023 .

What are similar products to Gspatial Historical Pollen Data?

This Data Platform has 3 related products. These alternatives include CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s, Worldwide Daily Historical Weather Data Climate Data Human Checked Weather Data starting in the mid 1900s, and Weather Source: OnPoint Climatology - Global Coverage. You can compare the best Pollen Data providers and products via Datarade’s data marketplace and get the right data for your use case.