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{{Language-box|english_link=Water Portal / Rainwater Harvesting / Rainwater Harvesting GIS Map|french_link=coming soonLes cartes SIG pour la collecte des eaux de pluie|spanish_link=El SIG aplicado a la captación de agua de lluvia|hindi_link=coming soonवाटर पोर्टल / वर्षाजल संचयन / वर्षाजल संचयन जीआइएस मैप |malayalam_link=coming soon|tamil_link=coming soon | korean_link=coming soon 빗물집수 GIS 지도 | chinese_link=雨水收集的地理信息系统地图|indonesian_link=coming soonPeta GIS Panen Air Hujan|japanese_link=coming soon雨水貯留 GIS マップ}}
[[Image:rain_logo.png|right|150px|]]
'''How does this work?'''<br>
The guiding principle with adding weights is that you give higher weights to the more relevant datasets in your study. For example, when your study focuses on reaching the most remote populations in the region, the suitability class for “population density” will get a lower weight. The weights that should be assigned to the datasets need to be between 0 and 1. Remember that the sum of all weights is always 1one.
The results of this scoring analysis are two maps: one with the need for Rainwater Harvesting and another for the potential success of implementing Rainwater Harvesting. Together, these form the basis for the third step.
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