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Description: <div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Se realizó un análisis de priorización de sitios para la implementación de SbN en La Paz, Baja California Sur con el método TOPSIS. Las SbN consideradas consisten en intervenciones de infraestructura verde en: a) camellones, b) escuelas, c) Lugares Amigables Para la Primera Infancia (preescolar) y d) parques.</font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Se construyeron 12 variables espacialmente explícitas en formato raster a una resolución espacial de 2 m en el área de interés (AI) ( Tabla 2 ). Los valores de los criterios fueron extraídos mediante las capas en formato vectorial de los elementos (alternativas) de cada SbN.</font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><div style="font-family:inherit;"><font size="2" style="font-family:inherit;">Criterio:</font></div><div style="font-family:inherit;"><ul><li><font size="2" style="font-family:inherit;">Accidentes de Tránsito Terrestre en Zonas Urbanas y Suburbanas (2019-2022).</font></li><li><font size="2" style="font-family:inherit;">Distancia a red de ciclovías. </font></li><li><font size="2" style="font-family:inherit;">Distancia a colonias consideradas con riesgo alto de inundación.</font></li><li><font size="2" style="font-family:inherit;">Distancia a corrientes superficiales. </font></li><li><font size="2" style="font-family:inherit;">Distancia a escuelas. </font></li><li><font size="2" style="font-family:inherit;">Índice global cuadriculado de privación relativa.</font></li><li><font size="2" style="font-family:inherit;"> Distancia a parques. </font></li><li><font size="2" style="font-family:inherit;">Número de habitantes. </font></li><li><font size="2" style="font-family:inherit;">Número de habitantes de 0 a 5 años. </font></li><li><font size="2" style="font-family:inherit;">Número de habitantes de 5 a 20 años. </font></li><li><font size="2" style="font-family:inherit;">Valor de recarga del acuífero. </font></li><li><font size="2" style="font-family:inherit;">Pendiente. </font></li></ul></div><div style="font-family:inherit;"><font size="2" style="font-family:inherit;">Para obtener la proximidad de cada alternativa (AI) a la solución ideal: a) se definió la dirección de preferencia de cada criterio, “min” indica que el criterio correspondiente debe ser minimizado mientras que “max” que debe ser maximizado. P.ej. la preferencia de la alternativa aumenta mientras mayor sea el número de habitantes; b) se normalizó la matriz de decisión, conformada por los valores de los criterios para cada AI, d) se calcularon los pesos de los criterios mediante el método del eigenvalor (Saaty, 2003), y d) se calcularon las soluciones ideales. Los valores continuos obtenidos se clasificaron en 5 clases con el método de cuantiles, las cuales van de muy baja (1) a muy alta (5) prioridad. </font><span style="font-family:inherit; font-size:small;">Los cálculos fueron realizados con el ambiente de programación estadístico R (R Core Team, 2022).</span></div></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;"><br /></font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;"><br /></font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">A site prioritizatio analysis for the implementation of NbS in La Paz, BCS was performed using the TOPSIS method. The NbS considered consist of green infrastructure projects in: a) medians, b) schools, c) Friendly Places for Early Childhood (preschools), and d) parks. 12 spatially explicit variables were constructed in raster format with a spatial resolution of 2m in the area of interest. The values of the criteria were extracted using the layers in vector forma of the elements (alternatives) of each NBS. </font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Criterion: </font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><ul><li><font size="2" style="font-family:inherit;">Road accidents in urban and suburban areas (2019-2022)</font></li><li><font size="2" style="font-family:inherit;">Distance to cycle path network</font></li><li><font size="2" style="font-family:inherit;">Distance to areas considered to be at high risk of flooding</font></li><li><font size="2" style="font-family:inherit;">Distance to surface streams</font></li><li><font size="2" style="font-family:inherit;">Distance to schools</font></li><li><font size="2" style="font-family:inherit;">Distance to parks </font></li><li><font size="2" style="font-family:inherit;">Gridded global indez of relative deprivation</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants aged 0 to 5</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants aged 5 to 20</font></li><li><font size="2" style="font-family:inherit;">Aquifer recharge value</font></li><li><font size="2" style="font-family:inherit;">Slope</font></li></ul><div style="font-family:inherit;"><font size="2" style="font-family:inherit;">To obtain the proximity of each alternative (AI) to the ideal solution: a) the preference direction of each criterion was defined, &quot;min&quot; indicates that the corresponding criterion should be minimized, while &quot;max&quot; indicates that it should be maximized. For example, the preference of the alternative increases as the number of inhabitants increases; b) the decision matrix was normalized, consisting of the values of the criteria for each AI; c) the weights of the criteria were calculated using the eigenvalue method (Saaty, 2003); and d) the ideal solutions were calculated. The continuous values obtained were classified into 5 classes using the quantile method, ranging from very low (1) to very high (5) priority. </font><span style="font-family:inherit; font-size:small;">The calculations were performed using the R statistical programming environment (R Core Team, 2022).</span></div></div>

Copyright Text: Castañeda, S. R., A. M. García, N. A. Harmelin, M. L. Cuevas. 2024. Priorización de planteles públicos o privados de todos los niveles educativos para la implementación de Soluciones basadas en la Naturaleza. Sociedad de Historia Natural Niparajá, A.C., Fondo Mexicano para la Conservación de la Naturaleza, Fundación Gonzalo Río Arronte, I.A.P., Alumbra Innovations Foundation. BCS, México.

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Description: <div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Se realizó un análisis de priorización de sitios para la implementación de SbN en La Paz, Baja California Sur con el método TOPSIS. Las SbN consideradas consisten en intervenciones de infraestructura verde en: a) camellones, b) escuelas, c) Lugares Amigables Para la Primera Infancia (preescolar) y d) parques.</font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Se construyeron 12 variables espacialmente explícitas en formato raster a una resolución espacial de 2 m en el área de interés (AI) ( Tabla 2 ). 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P.ej. la preferencia de la alternativa aumenta mientras mayor sea el número de habitantes; b) se normalizó la matriz de decisión, conformada por los valores de los criterios para cada AI, d) se calcularon los pesos de los criterios mediante el método del eigenvalor (Saaty, 2003), y d) se calcularon las soluciones ideales. Los valores continuos obtenidos se clasificaron en 5 clases con el método de cuantiles, las cuales van de muy baja (1) a muy alta (5) prioridad. </font><span style="font-family:inherit; font-size:small;">Los cálculos fueron realizados con el ambiente de programación estadístico R (R Core Team, 2022).</span></div></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;"><br /></font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;"><br /></font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">A site prioritizatio analysis for the implementation of NbS in La Paz, BCS was performed using the TOPSIS method. The NbS considered consist of green infrastructure projects in: a) medians, b) schools, c) Friendly Places for Early Childhood (preschools), and d) parks. 12 spatially explicit variables were constructed in raster format with a spatial resolution of 2m in the area of interest. The values of the criteria were extracted using the layers in vector forma of the elements (alternatives) of each NBS. </font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Criterion: </font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><ul><li><font size="2" style="font-family:inherit;">Road accidents in urban and suburban areas (2019-2022)</font></li><li><font size="2" style="font-family:inherit;">Distance to cycle path network</font></li><li><font size="2" style="font-family:inherit;">Distance to areas considered to be at high risk of flooding</font></li><li><font size="2" style="font-family:inherit;">Distance to surface streams</font></li><li><font size="2" style="font-family:inherit;">Distance to schools</font></li><li><font size="2" style="font-family:inherit;">Distance to parks </font></li><li><font size="2" style="font-family:inherit;">Gridded global indez of relative deprivation</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants aged 0 to 5</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants aged 5 to 20</font></li><li><font size="2" style="font-family:inherit;">Aquifer recharge value</font></li><li><font size="2" style="font-family:inherit;">Slope</font></li></ul><div style="font-family:inherit;"><font size="2" style="font-family:inherit;">To obtain the proximity of each alternative (AI) to the ideal solution: a) the preference direction of each criterion was defined, &quot;min&quot; indicates that the corresponding criterion should be minimized, while &quot;max&quot; indicates that it should be maximized. For example, the preference of the alternative increases as the number of inhabitants increases; b) the decision matrix was normalized, consisting of the values of the criteria for each AI; c) the weights of the criteria were calculated using the eigenvalue method (Saaty, 2003); and d) the ideal solutions were calculated. The continuous values obtained were classified into 5 classes using the quantile method, ranging from very low (1) to very high (5) priority. </font><span style="font-family:inherit; font-size:small;">The calculations were performed using the R statistical programming environment (R Core Team, 2022).</span></div></div>

Copyright Text: Castañeda, S. R., A. M. García, N. A. Harmelin, M. L. Cuevas. 2024. Priorización de espacio público o semi privado con usuarios menores a 5 años, para la implementación de Soluciones basadas en la Naturaleza. Sociedad de Historia Natural Niparajá, A.C., Fondo Mexicano para la Conservación de la Naturaleza, Fundación Gonzalo Río Arronte, I.A.P., Alumbra Innovations Foundation. BCS, México.

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Description: <div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Se realizó un análisis de priorización de sitios para la implementación de SbN en La Paz, Baja California Sur con el método TOPSIS. Las SbN consideradas consisten en intervenciones de infraestructura verde en: a) camellones, b) escuelas, c) Lugares Amigables Para la Primera Infancia (preescolar) y d) parques.</font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Se construyeron 12 variables espacialmente explícitas en formato raster a una resolución espacial de 2 m en el área de interés (AI) ( Tabla 2 ). Los valores de los criterios fueron extraídos mediante las capas en formato vectorial de los elementos (alternativas) de cada SbN.</font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><div style="font-family:inherit;"><font size="2" style="font-family:inherit;">Criterio:</font></div><div style="font-family:inherit;"><ul><li><font size="2" style="font-family:inherit;">Accidentes de Tránsito Terrestre en Zonas Urbanas y Suburbanas (2019-2022).</font></li><li><font size="2" style="font-family:inherit;">Distancia a red de ciclovías. </font></li><li><font size="2" style="font-family:inherit;">Distancia a colonias consideradas con riesgo alto de inundación.</font></li><li><font size="2" style="font-family:inherit;">Distancia a corrientes superficiales. </font></li><li><font size="2" style="font-family:inherit;">Distancia a escuelas. </font></li><li><font size="2" style="font-family:inherit;">Índice global cuadriculado de privación relativa.</font></li><li><font size="2" style="font-family:inherit;"> Distancia a parques. </font></li><li><font size="2" style="font-family:inherit;">Número de habitantes. </font></li><li><font size="2" style="font-family:inherit;">Número de habitantes de 0 a 5 años. </font></li><li><font size="2" style="font-family:inherit;">Número de habitantes de 5 a 20 años. </font></li><li><font size="2" style="font-family:inherit;">Valor de recarga del acuífero. </font></li><li><font size="2" style="font-family:inherit;">Pendiente. </font></li></ul></div><div style="font-family:inherit;"><font size="2" style="font-family:inherit;">Para obtener la proximidad de cada alternativa (AI) a la solución ideal: a) se definió la dirección de preferencia de cada criterio, “min” indica que el criterio correspondiente debe ser minimizado mientras que “max” que debe ser maximizado. P.ej. la preferencia de la alternativa aumenta mientras mayor sea el número de habitantes; b) se normalizó la matriz de decisión, conformada por los valores de los criterios para cada AI, d) se calcularon los pesos de los criterios mediante el método del eigenvalor (Saaty, 2003), y d) se calcularon las soluciones ideales. Los valores continuos obtenidos se clasificaron en 5 clases con el método de cuantiles, las cuales van de muy baja (1) a muy alta (5) prioridad. </font><span style="font-family:inherit; font-size:small;">Los cálculos fueron realizados con el ambiente de programación estadístico R (R Core Team, 2022).</span></div></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;"><br /></font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;"><br /></font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">A site prioritizatio analysis for the implementation of NbS in La Paz, BCS was performed using the TOPSIS method. The NbS considered consist of green infrastructure projects in: a) medians, b) schools, c) Friendly Places for Early Childhood (preschools), and d) parks. 12 spatially explicit variables were constructed in raster format with a spatial resolution of 2m in the area of interest. The values of the criteria were extracted using the layers in vector forma of the elements (alternatives) of each NBS. </font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Criterion: </font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><ul><li><font size="2" style="font-family:inherit;">Road accidents in urban and suburban areas (2019-2022)</font></li><li><font size="2" style="font-family:inherit;">Distance to cycle path network</font></li><li><font size="2" style="font-family:inherit;">Distance to areas considered to be at high risk of flooding</font></li><li><font size="2" style="font-family:inherit;">Distance to surface streams</font></li><li><font size="2" style="font-family:inherit;">Distance to schools</font></li><li><font size="2" style="font-family:inherit;">Distance to parks </font></li><li><font size="2" style="font-family:inherit;">Gridded global indez of relative deprivation</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants aged 0 to 5</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants aged 5 to 20</font></li><li><font size="2" style="font-family:inherit;">Aquifer recharge value</font></li><li><font size="2" style="font-family:inherit;">Slope</font></li></ul><div style="font-family:inherit;"><font size="2" style="font-family:inherit;">To obtain the proximity of each alternative (AI) to the ideal solution: a) the preference direction of each criterion was defined, &quot;min&quot; indicates that the corresponding criterion should be minimized, while &quot;max&quot; indicates that it should be maximized. For example, the preference of the alternative increases as the number of inhabitants increases; b) the decision matrix was normalized, consisting of the values of the criteria for each AI; c) the weights of the criteria were calculated using the eigenvalue method (Saaty, 2003); and d) the ideal solutions were calculated. The continuous values obtained were classified into 5 classes using the quantile method, ranging from very low (1) to very high (5) priority. </font><span style="font-family:inherit; font-size:small;">The calculations were performed using the R statistical programming environment (R Core Team, 2022).</span></div></div>

Copyright Text: Castañeda, S. R., A. M. García, N. A. Harmelin, M. L. Cuevas. 2024. Priorización de parques públicos en núcleos de población urbana, para la implementación de Soluciones basadas en la Naturaleza. Sociedad de Historia Natural Niparajá, A.C., Fondo Mexicano para la Conservación de la Naturaleza, Fundación Gonzalo Río Arronte, I.A.P., Alumbra Innovations Foundation. BCS, México.

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Description: <div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Se realizó un análisis de priorización de sitios para la implementación de SbN en La Paz, Baja California Sur con el método TOPSIS. Las SbN consideradas consisten en intervenciones de infraestructura verde en: a) camellones, b) escuelas, c) Lugares Amigables Para la Primera Infancia (preescolar) y d) parques.</font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Se construyeron 12 variables espacialmente explícitas en formato raster a una resolución espacial de 2 m en el área de interés (AI) ( Tabla 2 ). Los valores de los criterios fueron extraídos mediante las capas en formato vectorial de los elementos (alternativas) de cada SbN.</font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><div style="font-family:inherit;"><font size="2" style="font-family:inherit;">Criterio:</font></div><div style="font-family:inherit;"><ul><li><font size="2" style="font-family:inherit;">Accidentes de Tránsito Terrestre en Zonas Urbanas y Suburbanas (2019-2022).</font></li><li><font size="2" style="font-family:inherit;">Distancia a red de ciclovías. </font></li><li><font size="2" style="font-family:inherit;">Distancia a colonias consideradas con riesgo alto de inundación.</font></li><li><font size="2" style="font-family:inherit;">Distancia a corrientes superficiales. </font></li><li><font size="2" style="font-family:inherit;">Distancia a escuelas. </font></li><li><font size="2" style="font-family:inherit;">Índice global cuadriculado de privación relativa.</font></li><li><font size="2" style="font-family:inherit;"> Distancia a parques. </font></li><li><font size="2" style="font-family:inherit;">Número de habitantes. </font></li><li><font size="2" style="font-family:inherit;">Número de habitantes de 0 a 5 años. </font></li><li><font size="2" style="font-family:inherit;">Número de habitantes de 5 a 20 años. </font></li><li><font size="2" style="font-family:inherit;">Valor de recarga del acuífero. </font></li><li><font size="2" style="font-family:inherit;">Pendiente. </font></li></ul></div><div style="font-family:inherit;"><font size="2" style="font-family:inherit;">Para obtener la proximidad de cada alternativa (AI) a la solución ideal: a) se definió la dirección de preferencia de cada criterio, “min” indica que el criterio correspondiente debe ser minimizado mientras que “max” que debe ser maximizado. P.ej. la preferencia de la alternativa aumenta mientras mayor sea el número de habitantes; b) se normalizó la matriz de decisión, conformada por los valores de los criterios para cada AI, d) se calcularon los pesos de los criterios mediante el método del eigenvalor (Saaty, 2003), y d) se calcularon las soluciones ideales. Los valores continuos obtenidos se clasificaron en 5 clases con el método de cuantiles, las cuales van de muy baja (1) a muy alta (5) prioridad. </font><span style="font-family:inherit; font-size:small;">Los cálculos fueron realizados con el ambiente de programación estadístico R (R Core Team, 2022).</span></div></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;"><br /></font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;"><br /></font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">A site prioritizatio analysis for the implementation of NbS in La Paz, BCS was performed using the TOPSIS method. The NbS considered consist of green infrastructure projects in: a) medians, b) schools, c) Friendly Places for Early Childhood (preschools), and d) parks. 12 spatially explicit variables were constructed in raster format with a spatial resolution of 2m in the area of interest. The values of the criteria were extracted using the layers in vector forma of the elements (alternatives) of each NBS. </font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><font size="2" style="font-family:inherit;">Criterion: </font></div><div style="font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px;"><ul><li><font size="2" style="font-family:inherit;">Road accidents in urban and suburban areas (2019-2022)</font></li><li><font size="2" style="font-family:inherit;">Distance to cycle path network</font></li><li><font size="2" style="font-family:inherit;">Distance to areas considered to be at high risk of flooding</font></li><li><font size="2" style="font-family:inherit;">Distance to surface streams</font></li><li><font size="2" style="font-family:inherit;">Distance to schools</font></li><li><font size="2" style="font-family:inherit;">Distance to parks </font></li><li><font size="2" style="font-family:inherit;">Gridded global indez of relative deprivation</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants aged 0 to 5</font></li><li><font size="2" style="font-family:inherit;">Number of inhabitants aged 5 to 20</font></li><li><font size="2" style="font-family:inherit;">Aquifer recharge value</font></li><li><font size="2" style="font-family:inherit;">Slope</font></li></ul><div style="font-family:inherit;"><font size="2" style="font-family:inherit;">To obtain the proximity of each alternative (AI) to the ideal solution: a) the preference direction of each criterion was defined, &quot;min&quot; indicates that the corresponding criterion should be minimized, while &quot;max&quot; indicates that it should be maximized. For example, the preference of the alternative increases as the number of inhabitants increases; b) the decision matrix was normalized, consisting of the values of the criteria for each AI; c) the weights of the criteria were calculated using the eigenvalue method (Saaty, 2003); and d) the ideal solutions were calculated. The continuous values obtained were classified into 5 classes using the quantile method, ranging from very low (1) to very high (5) priority. </font><span style="font-family:inherit; font-size:small;">The calculations were performed using the R statistical programming environment (R Core Team, 2022).</span></div></div>

Copyright Text: Castañeda, S. R., A. M. García, N. A. Harmelin, M. L. Cuevas. 2024. Priorización de camellones para la implementación de Soluciones basadas en la Naturaleza. Sociedad de Historia Natural Niparajá, A.C., Fondo Mexicano para la Conservación de la Naturaleza, Fundación Gonzalo Río Arronte, I.A.P., Alumbra Innovations Foundation. BCS, México.

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