langauge for beeswarm chart components

src/assets/text/text_en.js

@@ -3,7 +3,8 @@ export default {
   pageSubtitle: "How societal factors shape vulnerability to water insecurity",
   components: {
     introNarrative: {
-      paragraph1: `Imagine, por ejemplo, que vive en una casa grande de una zona residencial donde el agua potable fluye de cada grifo. Hay suficiente agua para que disfrute con su familia de un bonito jardín cada año. La compañía de agua se ocupa de tratarla y mantener los sistemas de tuberías con regularidad, para asegurarse de que el agua continúe siendo apta para el consumo humano. `,
+      paragraph1: `Imagine, for example, that you live in a big house in the suburbs where clean water flows out of every faucet. There’s enough water for you and your family to grow a nice garden every year. The public water supplier treats the water and maintains the distribution system regularly, so you know the water is safe for you to drink.`,
+      paragraph2: `Now imagine you live in a small rural community on the outskirts of town. You have your own well, but in recent years, you and your neighbors have had to dig deeper and deeper to reach water. Dangerous metals,  originating from historical sources such as old industrial landfills and corroded copper pipes soldered with lead, are leaching into the water belowground, but you have no way of treating your water before your family drinks it. A nearby pond shrinks each summer and acquires a ghastly green hue as it’s choked by harmful algae blooms.`,
       paragraph3: `This scene may sound unimaginable, but this is the unfortunate reality for many Americans. More than 2.2 million Americans lack running water and basic plumbing in their home <a href='https://www.digdeep.org/draining' target='_blank'>(DigDeep, 2022)</a>, and roughly 3% of community water systems have severe issues with water quality <a href='https://www.nature.com/articles/s41467-021-23898-z' target='_blank'>(Mueller and Gasteyer, 2021)</a>. Limited access to clean water may be triggered by a single event, like the <a href='https://storymaps.arcgis.com/stories/7f105650f97e4b20839edb65de3b12ce' target='_blank'>derailing of the train carrying hazardous chemicals in East Palestine, Ohio,</a> or may be the long-term result of aging infrastructure, as was the case with the <a href='https://www.npr.org/sections/thetwo-way/2016/04/20/465545378/lead-laced-water-in-flint-a-step-by-step-look-at-the-makings-of-a-crisis' target='_blank'>dangerously high levels of lead in the drinking water of Flint, Michigan.</a>`,
       paragraph4: `Marginalized populations are often disproportionately affected by water insecurity. Communities of color and individuals living below the poverty line are frequently the hardest hit by <span class="tooltip-group"><span class="tooltip-span">water-related hazards,</span><span id='water-hazards-tooltip' class="tooltiptext"> A natural phenomenon and a situation where there is threat to life, health, environment, property, and society. Examples of water-related hazards include floods, hydrologic droughts and storm surges.</span></span> lacking the means to safeguard themselves adequately. They may face barriers to relocation or struggle to take time off work, cope with lost wages, or afford medical expenses. In the case of the Flint, Michigan, water crisis, black and low-income communities, who at the time made up <a href='https://apnews.com/general-news-7b2bcfdcc8d74ece9e0cb167a2239745' target='_blank'>57% and 42%</a> of Flint's population, respectively, were some of the socio-economically disadvantaged communities most affected by lead exposure. Regardless of the cause, the risk of experiencing water insecurity is closely related to the level of <span class="tooltip-group"><span class="tooltip-span">social vulnerability</span><span id='social-vulnerability-tooltip' class="tooltiptext">Conditions in which societal factors shape exposure to hazards, susceptibility to suffer harm, and ability to cope and recover from losses.</span></span>.`,
     },
@@ -11,11 +12,6 @@ export default {
       title: "Social vulnerabilities in agricultural versus municipal sectors",
       paragraph1: "Agricultural and municipal water use are the two largest water-use sectors in the western United States. Studies of social vulnerability to water insecurity in these two sectors tend to focus on different determinants. For the agricultural sector, studies have mostly looked at exposure to external stressors (where water insecurity is happening) and living conditions. On the other hand, studies of the municipal sector have focused on demographic characteristics and socioeconomic status. Many studies of the municipal sector have emphasized exposure, as well. Because of the different focuses of these studies, we understand the influence of determinants like demographics and socioeconomics better in the municipal sector than we do in the agricultural sector. Which brings us to an important point…"
     },
-    bubbleChartText: {
-      title: "What do we know about how social factors affects water insecurity?",
-      paragraph1: "Color = dimension of social vulnerability to water insecurity<br>Bubble = determinant (nested within dimension)<br>Details = indicator (nested within determinant)<br>Size = how much evidence do we have that the determinant contributes to water insecurity<br>Evidence = how much research has been done to assess the effect of the determinant on water insecurity<br>Agreement = how many studies agreed that the determinant increased water insecurity<br><br>Hover on a bubble to learn more",
-      paragraph2: "Who we are and where we live affect our access to clean, plentiful water. Certain categories of social factors (called “dimensions”) make us more vulnerable to water insecurity. These dimensions—demographic characteristics, living conditions, socioeconomic status, and exposure to external stressors like drought or pollution—have been studied by many researchers, most of whom agree the dimensions affect water insecurity. But certain aspects of those dimensions of social vulnerability (called “determinants”) are better studied than others. How much do we know about the effects of these determinants on water insecurity? Which determinants are we confident about, and which do we need to understand better? The Socioeconomic Drivers Program of the USGS Water Resources Mission Area is working to find out. "
-    },
     mapText: {
       title: "Vulnerability indicators across the Western states ",
       paragraph1: "Infrastructure and institutional factors are major determinants of access to and reliability of water delivery in the United States <a href='https://doi.org/10.1029/2023WR036284' target='_blank'>(Drakes and others, 2024)</a>. <a href='https://wires.onlinelibrary.wiley.com/doi/10.1002/wat2.1486' target='_blank'>Meehan and others (2020)</a> found 471,000 households or 1.1 million people lacked piped water access between 2013 and 2017, with the majority (73%) of these households located in metropolitan areas, and nearly half (47%) in the 50 largest urban areas. The reviewed literature showed indicators of household size, female-headed households, female population, and percentage of females in the labor force were all predominantly positively related and influential to water insecurity conditions. Displayed below is a county-level map of the average household size of occupied housing units. Counties with the greatest average household size, shown in dark blue, include Oglala Lakota County, South Dakota; Madison County, Idaho; and Todd County, South Dakota.",
@@ -40,6 +36,12 @@ export default {
     teamText: {
       title: "About the team",
       paragraph1: "The USGS Social and Economic Drivers team consists of social scientists, geographers, and hydrologists who conduct interdisciplinary studies to understand the interactions and interdependencies of human and natural systems with respect to water use sectors. The purpose of this project is to predict and measure social vulnerabilities to water security to better assess and manage risks for adaptive water management."
+    },
+    chartText: {
+      bubbleText: "Interact with the chart to explore evidence<br>for social vulnerability determinants.",
+      bubbleLegend: `Many social vulnerability determinants have been studied. Some show positive <span class="legend-box positive"></span> relationships with water insecurity, some negative <span class="legend-box negative"></span>, and others unknown <span class="legend-box unknown"></span> <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023)</a>`,
+      bubbleYaxis: `The y-axis of the chart represents the level of agreement among studies where increased <b>consensus</b> indicates a majority of studies using the selected determinant recorded the same direction of influence on conditions of water insecurity and <b>inconclusive</b> indicates studies using the selected determinant did not record the same direction of influence on conditions of water insecurity. The size of the bubbles on the chart represents the number of studies, with larger bubbles indicating that a particular determinant has been studied more frequently.`
+      
     }
 
   }

src/assets/text/text_es.js

@@ -39,6 +39,8 @@ export default {
     },
     chartText: {
       bubbleText: "Interactúe con el gráfico para ver diferentes muestras<br>de los factores determinantes de riesgo social.",
+      bubbleLegend: `Se han estudiado muchos factores determinantes de riesgo social. Algunos muestran relaciones positivas <span class="legend-box positive"></span> con la carencia de agua, otros negativas <span class="legend-box negative"></span>, y otros desconocidas <span class="legend-box unknown"></span> <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines et al, 2023)</a>`,
+      bubbleYaxis: `El eje Y del gráfico representa el nivel de acuerdo entre los estudios, donde el aumento del <b>consenso</b>indica que la mayoría de los estudios que utilizaron el factor determinante seleccionado indicaron el mismo tipo de influencia en las condiciones de carencia de agua y <b>no concluyentes</b> indica que los estudios que utilizaron el factor determinante seleccionado no indicaron un mismo tipo de influencia en las condiciones de carencia de agua. El tamaño de las burbujas en el gráfico representa el número de estudios, y las burbujas más grandes indican que un factor determinante particular se ha estudiado con más frecuencia.`
 
     }
 

src/components/BeeswarmChart.vue

@@ -49,12 +49,12 @@
     </div>
     <div id="text2" class="text-container tooltip-width">
       <div id="tooltip" class="tooltip"><p v-html="t('text.components.chartText.bubbleText')"></p></div>
-      <em>Many social vulnerability determinants have been studied. Some show positive <span class="legend-box positive"></span> relationships with water insecurity, some negative <span class="legend-box negative"></span>, and others unknown <span class="legend-box unknown"></span> <a href='https://www.sciencebase.gov/catalog/item/63f79d49d34e4f7eda456572' target='_blank'>(Hines and others, 2023)</a>.</em>
+      <em><p v-html="t('text.components.chartText.bubbleLegend')"></p></em>
     </div>
     <div id="beeswarm-chart-container">
     </div>
     <div id="text2" class="text-container tooltip-width">
-      <em>The y-axis of the chart represents the level of agreement among studies where increased <b>consensus</b> indicates a majority of studies using the selected determinant recorded the same direction of influence on conditions of water insecurity and <b>inconclusive</b> indicates studies using the selected determinant did not record the same direction of influence on conditions of water insecurity. The size of the bubbles on the chart represents the number of studies, with larger bubbles indicating that a particular determinant has been studied more frequently.</em>
+      <em><p v-html="t('text.components.chartText.bubbleYaxis')"></p></em>
     </div>
   </section>
 </template>