20250918 14352400 1.0 TRUE CreateFeatureclass "C:\Users\mariacamila.posada\Documents\ArcGIS\Projects\Public Dashboard AIMS\Public Dashboard AIMS.gdb" best_samples_load_2 POINT GPLYR_{18924D51-2FDE-4C65-9C3D-C6A5F0CF3C60} DISABLED DISABLED "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" # 0 0 0 # SAME_AS_TEMPLATE XYTableToPoint best_samples_load_2$ "C:\Users\mariacamila.posada\Documents\ArcGIS\Projects\Public Dashboard AIMS\Public Dashboard AIMS.gdb\best_samples_load_2" Long_X Lat_Y # "GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision" EnableAttachments best_samples_load_2 DeleteField best_samples_load_2 clearance_status DELETE_FIELDS AddAttachments best_samples_load_2 OBJECTID "C:\Users\mariacamila.posada\OneDrive - World Food Programme\2024\01_2024_statistics\AIMS Hub\Public dashboard\Attachments_publicdash_2.csv" OBJECT_ID IMG_PATH # AddAttachments best_samples_load_2 OBJECTID "C:\Users\mariacamila.posada\OneDrive - World Food Programme\2024\01_2024_statistics\AIMS Hub\Public dashboard\Attachments_publicdash_2.csv" OBJECT_ID IMG_PATH # best_samples_load_2 iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO xAAADsQBlSsOGwAAC71JREFUeJzt3ftP1fcdx/E3nMNFCshV7goqDLEqYk0tbnHdFhfb7Jamabrs p7X9pT/39/4V/Wn7sb+2WWayNqXdkrWJNUbaqm2iXASEiohyKbcDCsvr3Rza0m4iNoP34flIToBz +Z6DkWc+n+/3m883ubKysmIAvkd/Gm+99Zb19fVZQ0ODzczMWGtrq/X29trw8LDt3r3bCgoK7OzZ s9bR0WHl5eVWUlJiIyMjVldXZ5999pm98sor9uabb/r2enp6rKKiwl5//XXLzc3lX3wDkht5EZDp FhcX7dKlS5ZKpWxpackDk5eXZ/39/TY+Pm719fUepfPnz/vjhYWF1t7eboODg1ZbW+tx0muHhoY8 fHq8ubnZt4uNI1jAGhpBvfO3v1ppRYP94vQf7Pnnn7fs7GyPT1dXlx06dMhOnDhhxcXFdurUKVte XrZEIuG3trY234buU6iSyaSHLCsry38WRlcbR7CANaampiwne8Fmpm/Z4uLCamCamprspZde8vgo TpL+mqawrbX2Odg4ggWsof1Rjx88aNmJbEsmc1bvV6g0YsLm4V8fWENhysvP599lCyJYAMIgWADC IFgAwiBYAMIgWADCIFgAwiBYAMIgWADCIFgAwiBYAMIgWADCIFgAwiBYAMIgWADCIFgAwiBYAMIg WADCIFgAwiBYAMIgWADCIFgAwiBYAMIgWADCIFgAwiBYAMIgWADCIFgAwiBYAMIgWADCIFgAwiBY AMIgWADCIFgAwiBYAMIgWADiBWthYWH1zpycHEskEt978vLyst/0WFZW1ur9KysrfsvOzv5RPtTd u3ftq6++8vcoKiqy4uJi3/bt27dtZmbGKisr/X4A2zBYis25c+dsx44dlkqlrLa21uNw4MABm5iY sJKSEpubm7Px8XH/qucUFhbarl27PF79/f3+fTKZ9McPHjz4g8Fbr8HBQevr67P8/HxramrySE5N TdkXX3xh09PT1tnZSbCA7Rys7u5uq6mpsXv37tnY2JgH59atWx4ghWt2dtbm5+ftzp07lpub65FS TBS5Tz/91Hbu3OmvV2QUu+rq6g1/KL2XRnwVFRX+VdsfGhryYKYfB7D9JBcW5u322E0PTXt7u8eg p6fHR1kadeXl5fnoRpHas2ePT880XdNN0zTdr+dOTk56vDRV0/cbCdbc3Kz19V6z22Ojtn//ftu3 b59HcmRkxKeHen/R+wDYfpLdF/5towMXrL7+kI+kFCKNljTCevrpp/1JGulov1ZBQYFPD7/88ku/ r7y83EOn52uaqK/379/3qG2Ewnnx3Ds2M7doP2lt8+1rOqip5tLS0mqo2H8FbE/JVGrBUgtzduKn h30Uo9g8KDhVVVXf+Vn7r34MOTm5VlpeZWWVuVZaWuojON00gvtfFhcXfSorGhE+yv4zAFtX8kjH SWts2m8NDQ2b/VmsorLajnee8WmmRnDrdfHiRd/fpmmoppE6IKD9cmmaVmpUpu2uh45EikaSzc3N 3zsiqvvr6uoe6ncD8OiSZWUVptvD0tRP+7s0XdNU8dt/7NoxrwDqj/uHRjuaPmpUpCmeXp+W3h/2 sLSTv6ury+rr6+3GjRt2+PBhu3Llip8eoYiNjo7amTNnPDLfjs9/8/777/s2PvjgAxsYGLCTJ0/a hx9+aC0tLf67XbhwwV599dWH/pwANunEUe3r0h+xzonS0cL0jnjFQTvptc9JP+sPXNM7xUuxOHbs mJ+2MDw87FNLRUX7x9LTP03t9u7du65ppk5xUOT0/hpVKZYKlt7n888/9yhqiqijiwrsemIlV69e taeeesp/F31ehUu/k3b+6/NxlBIIFiz90eooYmNjo4dApx1oB7lGTZ988olPzXTqg+5XsHTTtEzh uHnzpj/nyJEjHgWNuBQrPUenMTz22GMPDJa2e/6jf1hJWbW1HjxmL774or+/AqmjnEePHvWjitqm Ts1QWB9kcuKO5eTm+Ujt2rVr/jk6OjrsjTfe8M+j8GlEuBWmz8B2tOFgKQ4abWhko9GHIqR4tba2 +gme+uPWEUTtwNe0UEFS2PQ6vUZR0BFHBUYRUBw0WtJoS48/iE5oHRm6ahMTkx4snZKRvl/TSk0F 0zvu10Mh7Tr7F0vdz7cTP3vWlpdXfBqpz3769Onv/N7fngIDCBCssrIye+GFF1aPGOqkUd2nSDz3 3HMeCk3HdE5Vf88ly16essbGxz0AOsdKwdLjeo2CpVgpGpo6rmeH++7du+3Mb/9kWYmvt5GWHs09 LB8lDo9adqLA6uvqLH/HN1HS6R4AAgdLIyLt30lTgNJ0ZC0tkXXfrl66Y4m8hJ9XpZDpfC3dRKOs jfg6TN+8/6PS53rm93/2EZ6mhQC24WoNO0vL7diJX9nKytafSh1oO7zZHwHAZgaroKDQ9rUcWT1j HQA26v9SkPQpCwDwKBjyAAiDYAEIg2ABCINgAQiDYAEIg2ABCINgAQiDYAEIg2ABCINgAQiDYAEI g2ABCINgZSAtX62L2Wq117XXcNQ693o8vcKraMVYrb+vhRO1SmyatqHVX1llA1sFwcpAuqqPlp7W lX90oQ4FRwsl6nJnWoe/t7fX17zXmvoK0nvvvedr8T/xxBMeOK0Kq1i9++67dvz4cV8PX9vRarBa BluLHAKbgWBlIK3sevnyZR81afVXBezJJ5/0kZQu/qGLfoyNjXm49LjWv//44489bFpuWlc10iXR FK23337bY6cLeShar7322oaWoAZ+DAQrgyhQuuqQwqQFE7VGvq7ZqPhcv37dH9OqrxpNtbW1+Rpl eo4uJqLRky4cokuZabqo6zHqedqOgqU1+9MXDAE2C//7MshH//q7/bPrrP36N3+0l19+2S+skV44 UeGR9BWxdQEQ0eOdnZ0+9dP3ejz9NX3TFDF9xSNFDNgsBCuDJHWJtOIyKyoq8VHSeile6YABWxnB yiA//+Xv7OSpZ1eP/gGZhmBlEF2ejEuUIZMRLABhECwAYRAsAGEQLABhECwAYRAsAGEQLABhECwA YRAsAGEQLABhECwAYRAsAGEQLABhECwAYRAsAGEQLABhECwAYRAsAGEQLABhECwAYRAsAGEQLABh ECwAYRAsAGEQLABhECwAYRAsAGEQLABhECwAYRAsAGEQLABhECwAYRAsAGEQLABhECwAYRAsAGEQ LABhECwAYRAsAGEQLABhECwAYRAsAGEQLABhECwAYRAsAGEQLABhEKxtan5+3nJyciyZ5L8A4uB/ a4ZbWFiwGzdueKBSqZTl5ubarl27/D59X1VV5dHKz8+3xcVFW1lZsZKSEkKGLYlgbYNgDQwM2N27 d/2mMNXU1Njo6KhHaWpqyrKzs+3KlSser8bGRisoKCBY2JIIVgZbWlryW3V1tVVUVFh3d7eNj4/b 8vKyh2xycnI1TIlEwmZmZmx2dtZHWcBWRLAy1ODgoA31XrTU0ortbW63mtpa32elkVVxcbE/Z2Ji wkdVClRlZaVNT0/76ErPA7YigpWhFKPrvZctK1lge5uP+FSwpaXFp3waTWkaeO/ePR9hKVjan6Vo 6X52xGOrIlgZas+ePZabeMaSOXlWVV1tWVlZHiXd0vLy8r7zmrU/A1sNwcpQpaWlVlR01EOlERWQ CQhWBmNqh0xDsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRB sACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGw AIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAA hEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACE QbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAhEGwAIRBsACEQbAAWBT/AYAt vp9iAg2CAAAAAElFTkSuQmCC